Journal of Mobile Computing, Communications & Mobile Networks
Journal of Mobile Computing, Communications & Mobile Networks (JoMCCMN) ISSN: 2349-901X Click here for complete Editorial Board Scientific Journal Impact Factor (SJIF): 4.925 Journal of Mobile Computing, Communications & Mobile Networks (JoMCCMN) is a journal focused towards the rapid publication of fundamental research papers on all areas of Mobile Computing, Communications and Mobile Network. It's a triannual journal, started in 2014. Journal DOI no.: 10.37591/ JoMCCMN Focus and Scope Cover Cellular Networks Channel allocation, multiple access, Location management , Handoffs Wireless Transmission Basics MAC Protocols, Routing, Transport, Ad-hoc Networking GSM, HSCSD, GPRS Satellite and Broadcast Systems Mobile Internet Protocols Mobile Business Apps using the Sybase Unwired Platform Security, scalability, and reliability issues Mobile ad hoc and sensor networks Power management and control algorithms Wearable computing and networking Readership: Graduate, Postgraduate, Research Scholar, Faculties, Institutions, and in IT Companies. Indexing: The Journal is index in DRJI, Google Scholar Submission of Paper: All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance. Manuscripts are invited from academicians, students, research scholars and faculties for publication consideration. Papers are accepted for editorial consideration through email info@stmjournals.com or nikita@stmjournals.com Abbreviation: JoMCCMN Frequency: Three issues per year Peer Reviewed Policy Editorial Board Instructions to Authors Publisher: STM Journals A division of: Consortium eLearning Network Private Ltd Address: A-118, 1st Floor, Sector-63, Noida, Uttar Pradesh-201301, India Phone no.: 0120-4746-214/ Email: nikita@stmjournals.com
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Modeling Campus VLAN using OPNET Simulation
Virtual LANs have long been used within campus networks to create logical workgroups, independent of physical location or LAN topology. It is important to analyze VLAN capabilities, found in both wired and wireless devices, to tag and compartmentalize Wi-Fi traffic, supporting institution’s security and traffic management policies. A campus VLAN is modeled using OPNET modeler and traffic over VLAN is analyzed. Differences in throughput and network delay are compared over VLAN and without-VLAN environment. The model is designed to create a campus VLAN with fiber backbone with several segments.
A Comparative Study of MANET Routing Protocols
Routing is a demanding issue in mobile ad-hoc network. Mobile means moving geographically and ad hoc means impermanent without any fixed infrastructure so mobile ad hoc networks are a kind of momentary networks in which nodes are moving without any fixed infrastructure or centralized administration. The infrastructure less and the dynamic nature of these networks demands new set of networking strategies to be implemented in order to provide efficient uninterrupted communication. Due to unbounded movement of nodes topology of the network is frequently changes. So it is hard to perform optimally by any protocol in this varying environment. The various routing protocols are analyzed and the advantages and disadvantages associated to particular protocol is briefly discussed. The contribution of this paper is to focus on comparative study of various routing protocol used in the ad-hoc network.
Email Client Application for Android Smartphone
In the mobile device area, new advance features are introduced such as Android mobiles, tablets, Windows platform phones, etc. Using these mobile phones, we can send email using different browsers to anyone using internet. For the security of the emails, the authors have implemented an application using Rabbit algorithm. A particular email client uses Rabbit algorithm to encrypt and decrypt confidential email content. This application can be used to view, edit, send, retrieve, and read a simple email.
Diminution of Co-channel Interference in Femtocell Networks
In the field of telecommunications, a femtocell is defined as a low-power cellular base station that is typically designed for use in a home or small business. A broader term which is more widespread in the industry is small cell, with femtocell as a subset. It acts as a service provider that allows to extend service coverage indoors or at the cell edge, especially where access would otherwise be limited or unavailable. In multiple-access communication systems several users share the system resources, thus creating cochannel interference to each other. In order to dimulate possible co-channel interferences we use the concept of cognitive radio (CR) that allows to overlay between macro cell and femtocells has been considered an optimal solution. Cognitive radio functionality can be implemented in femtocell networks based on an overlay mechanism under the assumption of a hierarchical access and in co-channel deployment scenario. In this survey paper, we give in-depth theoretical analysis on media access protocol using discrete-time Markov chain analysis to validate the effectiveness of the proposed architecture.
Light Fidelity: The New Wireless Communication Technology
Light Fidelity (Li-Fi) is the latest 5G technology in wireless communication. It is currently becoming more popular as it overcomes the demerits of Wi-Fi and is more energy-efficient. The Wi-Fi radio frequency range is insufficient as the number of users is increasing day by day. To meet this growing demand, the visible light frequency band is used in Li-fi. It makes use of LED (light emitting diode) lights in order to transmit data at a much faster rate than through Wi-Fi. That means, it uses visible light, instead of radio waves, from the electromagnetic spectrum and hence it is termed as visible light communication (VLC). VLC uses rapid pulses of light, which cannot be detected by human eye, to transmit information. This technology was founded by Professor Herald Haas, from the University of Edinburgh in the United Kingdom. It is now a part of the VLC PAN IEEE 802.15.7 standard. With this, a data rate of up to 10 Gbps can be achieved.
A Review on Three-Port and Four-Port Optical Circulator
Optics is the branch of physics which include the behavior and property of light. There are two types of optical circulator are investigated, a perfectly circulating four-port optical circulator and a three-port optical circulator. Circulator is an important device for constructing highly function photonics circuit. Photonics technology had been reviewed for optical circulator in this paper. We present a comparison study of structure like Mech-Zehnder interferometer, on-chip multi, polarization beam splitter and finite difference time domain adapted by various researchers. By analyzing these comparisons we conclude that using finite difference time domain method and coupling structure we can reduce the size of optical circulator.
Research Issues in UMTS-WLAN Interworking: A Survey
Interworking between Universal Mobile Telecommunications System (UMTS) and Wireless Local Area Network (WLAN) actualize the dream of achieving growing demand for high speed data access at anytime, anywhere. From user’s viewpoint, key features of this NGWN include high bandwidth, low latency, ubiquitous coverage etc. Paper presents a survey on the research issues in UMTS-WLAN interworking.
A Proposed Coordinate Based Route Selection Technique for MANET
Mobile Ad-hoc Network (MANET) is a combination of portable mobile devices or mobile nodes which are communicating with each other without any help of pre-installed base station, infrastructure, centralized administration or access point. Designing and developing a routing protocol for MANET environment is an important issue. While designing a routing protocol, following must be considered: minimizing packet loss, minimizing time delay and minimizing the number of next hop count. Due to the dynamic behavior of the network there is a frequent path failure in the topology. This becomes a major technical challenge in MANET environment. In this paper, we proposed a Coordinate Based Route Selection (CBRS) technique for MANET to enhance the performance of the network by minimizing the number of hop count for route selection. The proposed approach is implemented with the route discovery process of Ad-hoc On Demand Distance Vector (AODV) routing protocol. In our approach, we divide the whole networking area into four parts (zones) based on sender node position in the network. This technique limits the area of route discovery on the basis of wherever sink node exists. The results are generated by NS2 (2.35) simulator, which shows that our scheme reduces the routing overhead and improves the throughput of the network as well as minimize the packet loss and end-to-end delay.
Performance Analysis of Mobile WiMAX Networks on Various Routing Protocols Using Strict Priority and Weighted Round Robin Scheduling Algorithm on CBR Traffic
MobileWiMAX (Worldwide Interoperability Microwave Access) is a wireless system based on the IEEE 802.16e standard and it has emerged as the strongest contender for broadband wireless technology with promises to offer guaranteed Quality of Service (QoS). It offers support high mobility in WiMAX Networks. This paper presents a comparative performance analysis of Mobile WiMAX Networks AODV, DSR and OLSR routing protocols using Strict Priority and Weighted Round Robin Scheduling Algorithm with CBR traffic at 3.5 GHz. In multimedia applications the routing protocol on this network help to choose the best route to ensure the network provides higher quality communications.
Survey on Short-range Wireless Networking Technologies
Short-range wireless technologies are being widely used in lot many applications such as communications, entertainment, medical and battle fields etc. For short-range communications, networks have been standardized by IEEE 802.11 WLANs and IEEE 802.15 WPANs with low power consumption. This paper surveys these networking technologies and compares them.
Use of GPS Based Spatial Alarm System for an Alert of Locations
GPS based spatial alarm is one of the alert system for many Location Based Services. If the user set an alarm for a location, it will make a sound and notification once it’s detected the user within the user defined range from the destination. The GPS must be enabled on a mobile device to use this application. SHA1 signature is used to generate a Google map API key for displaying the map in mobile devices. Spatial Alarm ensures high accuracy and scalability for alerting the user within his proximity distance. It shows that the Spatial Alarm system provides both the general system architecture and the essential building blocks for location-based reminders.
Analyzing the Impact of Offer Load, Mobility and Energy Related Issues on Simulation Areas of Reactive and Proactive Routing Protocols in MANETS
MANETS is a collection of independent mobile nodes that can communicate through each other via radio waves. The mobile nodes that are in radio range can directly communicate whereas others need the aid of intimidate node to route the packets. These networks are fully disturbed and can work with any place without the help of any infrastructure. This property makes these networks highly flexible and robust. In this project, the authors have analyzed the impact of offer load, mobility and energy related issues with respect to simulation areas for reactive and proactive routing protocols for MANETS by using NS2 simulator to measure the different parameters like routing overhead, rout load, packet delivery ratio energy consume, energy remaining, etc.
Implementing and Evaluating AODV, DSR and DYMO Protocol using Grid-based Routing for Mobile Ad-Hoc Networks
The reactive routing protocols got much significance because of their low storage requirements and high mobility. In this paper, three routing protocols AODV, DSR and DYMO are analyzed and simulation results evaluated on grid-based routing have been presented and compared by using QualNet simulator on the basis of performance metrics such as throughput, average jitter, average end-to-end delay, signals transmitted and ACK packets sent. The grids are distributed that tracks mobile node location in ad-hoc networks. Grid-based routing protocol uses reactive mechanisms to build routing paths. In addition, the grid partitioning of a network naturally aggregates nodes into non-overlapping grid cells. The mobile network can be modeled as a fixed pattern network of occupied grid cells. The grid cells do not move but may change their state between “on” and “off” according to their occupancy. The occupancy of a grid cell depends on not the mobility of nodes but the density of nodes.
Security is an important issue in MANETS. As MANETS are self-organized, the communication and the recognizing the other nodes for the communication need to be recognized by the nodes. In this, MANETS lack centralized authority; any devices can enter or leave the network. Security attacks are more in MANETS because of its dynamic nature. In this paper an attempt has been made to list out all types of attacks in the MANETS and provide solution for the routing in the network. By implementing Shamir’s algorithm, security can be achieved. By the proposed method, each node which wants to enter into the network, should register in the centralized authority. By this some security attacks can be reduced.
Abstract We face many problems and see a lot of issues happening in our surroundings but we ignore those because of the tedious path of government to follow up and investigate the issue. Mobiles play a major role in delivering solutions to our everyday problems. We have designed the android phone application “Satark India Application” that focuses on delivering a clean society. This app gives people the platform where the issue can be raised and transferred to the respective officer or NGO's directly at that instance using AI and ML. The application makes it easier for people to put forth their issues and gives the government a well-organized and more advanced way of communication with the people. The app provides the feature to form various self-volunteer people in their regions. They all will also help people to solve local issues at their level and ease the workload of the government. Details of request owners are secured, encrypted, and not shared with anybody so people can freely raise the request for any problem self-issue or rule violation report. Users can track the progress of requests raised. The data analysis part will give all the graphical representation which provides benefit to the government for the study of the whole nation on a single interface. Our app provides real-time location tracking and one-click emergency help toggle for women's security purposes. ‘Be Indian Buy Indian’ module provides a total guide for people to buy Indian products. Since the whole application serves as the best intermediate between the government authorities, NGO's and people which helps to form a better nation and a responsible society we have named it "Satark India Application"
Implementation of Cloud Computing in Virtual Learning System for Effective Utilization of ICT Based Computing Resources in Academic Environment
Abstract: Now a day's increase in use of digital media influences academic system to adopt ICT based learning tools to improve the accessibility and reliability of learning resources. Information and communication technology (ICT) has significantly affected the process of admission in higher educational institutions. ICT also improves the interaction between the students and the institution as well as academician too. As of late, cloud computing as another sort of trend setting innovation speeds up the development for the computer industry. Cloud computing is turning into an appealing innovation because of its dynamic versatility and powerful utilization of the assets; it tends to be used under conditions where the accessibility of assets is restricted. Cloud computing can be used in the field of education, and integration of network and e-learning. In order to give a full play for the advantages of cloud computing with ICT based education in educational institution, we tried to attach cloud computing to e-learning, build an e-learning cloud, and made an active research and exploration for it, so the implementation of ICT based tools used with cloud computing become more familiar.
Higher Education and Cloud Computing Resources.
Presently, the technique to screen the patients in clinics and hospitals is with the end goal that it keeps the patients attached to their beds, and observing by this strategy is uncomfortable for patients. The cell phones with numerous inbuilt sensors can be utilized to plan and create applications to fetch various biomedical signs. Building a remote Heart rate monitoring system [1] that will permit patients to be convenient in the general climate is the point of this method. What's more, the quick ascent of cell phone technology and on-board sensors has empowered non-invasive physiological estimations, which can improve self and remote computations. This holds colossal potential in productive conveyance of medical services. This examination researches the practicality of removing crucial cardiovascular parameters of heart rate (HR), breathing rate (RR), oxygen saturation (SpO2) and blood pressure (BP) utilizing a phone's camera during a non-invasive way, without the requirement of external sensors. This is accomplished by utilizing the phone's capacity to record and distinguish varieties in color signals in a fingertip set in contact with its optical sensor, for example camera.
Fake News Detection Using N-Gram Analysis and Machine Learning Algorithms
Fake news is untrue information presented as news. Fake news easily spread than real news amongst social networking sites. Detection of fake news is an important emerging research area which is gaining popularity. The main challenge in fake news detection is limited availability of resources (datasets). This project work detects fake news using n-gram analysis and machine learning algorithms. Evaluation and comparison between two feature extraction technique namely Term Frequency (TF)and Term Frequency-Inverted Document Frequency (TF-IDF) and six machine learning algorithms namely like Support Vector Machines (SVM), Linear Support Vector Machines (LSVM), K-Nearest Neighbor (KNN), Stochastic Gradient Descent (SGD), Decision Trees (DT), Logistic Regression (LR) are performed. The evaluation yields best performance exploiting feature extraction technique as Term Frequency-Inverted Document Frequency (TF-IDF) as and Linear SVM and SGD (Stochastic Gradient Descent) as machine learning algorithm with an accuracy of 93.5%. In SGD Performance tuning is applied to increase the accuracy. Comparing Grid Search CV and Random Search CV, the later gives better accuracy of 94.2%.
Disease Prediction Android Application using Machine Learning
The rapid proliferation of internet technology and handled devices has opened up new avenues for an online healthcare system. There are instances where online medical help or healthcare advice is easier and faster to grasp than real world help. People often feel reluctant to go to hospital or visit doctors for minor symptoms. However, in many cases, these minor symptoms may trigger into a major health hazard. As online wellbeing counsel is effectively reachable, it very well may be an extraordinary head start for clients. Besides, existing on the web medical services frameworks experience, the ill effects of an absence of unwavering quality and precision. An android application is developed for users for easy portability, configuring and being able to access remotely where doctors cannot reach easily. This application analyzes the symptoms provided by the user as input and gives the most accurate probable disease output to user. This application also looks forward by providing information like description about predicted disease and measures to be taken by users of a particular predicted disease. Expectation is finished by carrying out the Naive Bayes Classifier.
An Energy Efficient and Secure IoT-based WSN Framework: An Application to Smart Building
Abstract The emergence of smart cities is expanding gradually. This research focus on developing efficient energy utilization models and answers for home and places of business based on current sensing and wireless networking technologies. Accessibility of minimal effort sensing and processing modules just as of late created effective wireless correspondence conventions for building robotization applications give the essential enabling instruments to the application domain of smart buildings. Energy utilization mechanization is a compelling use of sensor technology because of the all-inclusive requirement for energy use enhancement in homes and places of business. To build up an energy utilization models and optimization algorithms to minimize energy use gave by the networked sensors, client orders, and framework settings, on going pricing information when accessible, and input information accessible from the network. This research paper implements the best optimization model for WSN in smart buildings for smart cities.
Scientific Paper Reviews Identification by Sentiment Analysis in Data Mining
Abstract Sentiment analysis (SA) is one of the rapidly growing fields of research in computer science and makes it difficult to track all activities in the area. Analyzes of thoughts and/or perceptions are used for automating subjective information identification such as opinions, attitudes, emotions, and feelings. Hundreds of thousands are concerned about science and take a long time to select appropriate papers for their research. These opinions are numerous and SA can be used to mine the general sentiment or opinion polarity of all of them. It is nearly difficult to manually evaluate such a vast number of comments. The automatic solution of a computer, therefore, has a significant role to play in resolving this serious issue. The biggest problem in perception analytics and opinion mining (OM) is the recognition of emotions in these texts. In this paper we survey on opinion mining concerning their different techniques, tools applied, and also describe the overview of sentiment analysis regarding levels, approaches, challenges, and benefits as well as techniques of data mining. This survey is also done to study the opinion mining and sentiment analysis used to scientific paper review. Keywords: Data mining, opinion mining, sentiment analysis, scientific paper reviews, data mining techniques
Complete Investigation about Different Factors that Affecting the Mobile Bank Applications
Abstract This study examines customer’s influencing factors to use mobile banking. To achieve the objectives of this study, four variables has been discussed that is on perceived usefulness, perceived ease to use, perceived enjoyment and perceived credibility. 400 questionnaires were distributed to Universiti Utara Malaysia (UUM) staff’s. The data of this study was analyzed using the computer peripherals Social Science Statistics Package (SPSS) version 23. Study found that all the variables are significant influencing customer’s usage of mobile banking except for perceived enjoyment. Keywords: Perceived usefulness, perceived ease to use, perceived enjoyment, perceived credibility and mobile banking
A Depth Look of Vehicular Technology for Sustainable Development through DTN in India
Abstract This paper notes that education also results in technical development serving with the purpose that overall development of technology in term of living standards to up-lift. In its current state, technical education does not appear to serve the on top objectives. The paper presents a holistic read of technical education in Bharat. To confirm multidimensional sustainable development indicators (MSDI) for Bharat within the up to date correlated main element of sustainable development ‘Human Development Index (HDI). The paper finds technical education to be one in every of the core competencies that require to be developed. The paper observes that there looks to be no linkage between the ‘education’ being provides technological growth and specially focus on DTN (Delay Tolerance Network) and Vehicular Network to provide better, safe and time saving lifestyle of human being within the country. To supply a true academic resolution for blanket development of Bharat, the paper suggests that ‘what to do’ for real life problem of traffic at all over Bharat for technical education than simply ‘how to do’. The paper suggests some overview about current trends in traffic management as well as it propose technical diagram for emerging trends in Vehicular Network that may become change the human life in real sense of sustainable development. In future scope traffic applications for the state of traffic management and some emerging concept of Vehicular network with DTN as sustainable technological development for traffic management.
MSDI (Multidimensional Sustainable Development Indicator)
HDI (Human Development Index) technical education
Implementation of Loss Discrimination Algorithm Using Machine Learning Approach for Wireless TCP Enhancement
Abstract In wired network packet losses are due to network congestion whereas in wireless network, it can be due to variable bandwidth, network topology, host mobility, network error etc. Transmission Control Protocol (TCP) is used to handle wired and wireless network. This conventional TCP consider any loss as congestion loss whatever may be the reason behind loss and to control the loss it simply reduces the congestion window size (Cw) which leads to deteriorate the network performance due to low utilization of bandwidth. Thus to improve the performance of wireless TCP, we are introducing loss discrimination algorithm (LDA) based on machine learning (MC) which will classify the losses in to two categories as congestion loss and random error (viz. high bit error rate, link problem etc.) packet loss. Further based on the type of loss the corrective action is taken. This avoids the unnecessary reducing the congestion window size in turn improves the network performance. Proposed system (ML-LDA) is an extension of TCP Reno which was developed to improve the performance of conventional TCP and we are getting better performance than TCP Reno.
Gesture to Speech Recognition for Deaf and Dumb People
The main aim of this project is to extend the human right of communication to a larger audience. There are 70 million people who are deaf in the world, but many do not know how to communicate with this community. To overcome this real time issues, our smart gloves are very useful to translate sign language into text and audio.The smart glove is normal cloth driving glove that recognizes hand gestures that corresponds to text. The gloves make use of sign language which translated in text and audio. It uses hand gestures and orientation of the fingers which has flex sensors embedded to it to measure the movement and convey the message. This data is then sent to the PIC (16F877A) microcontroller. The input signal needs to stay constant for the defined period and if the gesture remains unchanged then it is valid and the translated text and audio is observed on the smart phone application. The transmission of signals is done with the help of Bluetooth HC-05 module. Keywords: Gloves, binary file, sign language, PIC microcontroller, Bluetooth model. Cite this Article: Mansi Rajaram Jadhav, Vaishnavi Manohar Rohekar, Pranali Vijay Vhadage, Praveen Sambhaji Shinde. Gesture to Speech Recognition for Deaf and Dumb People. Journal of Mobile Computing, Communications & Mobile Networks. 2020; 7(2): 17–20p.