International Journal of Mobile Network Design and Innovation
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International Journal of Mobile Network Design and Innovation (5 papers in press)
IOT BASED IMPLEMENTATION OF CLASSROOM RESPONSE SYSTEM FOR DEAF AND MUTE USING MQTT PROTOCOL by Manasi Mishra, S.R.N. Reddy Abstract: Speaking and hearing plays an important role in effective teaching, individuals who lack these abilities faces an uphill battle. Deaf & mute education programs must be customized to each student's need and educators in this area provide a variety of services to these students based on their individual needs. Quantum of researches have focused on designing various approaches to teaching deaf & mute students. However, it is equally important to assess whether students are following the course materials or there is a need to adjust the pace and methodology of teaching. Creating an active learning environment by putting up quizzes in the classroom can help to get an idea about their understanding. But it becomes very difficult for a teacher to observe each and every students response at a time through sign language. The level of their enthusiasm and their active engagements in the classroom can degrade due to being unheard or unnoticed. This scenario demotivates them to respond in the classroom. Integrating IoT technologies into their classroom can add immense value in this area by providing an interactive low-cost solution which can solve the purpose and also improve the quality and efficiency of the education system thereby making education more appealing than ever before. This paper presents the review and case study of various existing solutions and design & development of one such system using low-cost hardware and MQTT lightweight protocol for an efficient device to device communication to encourage active learning environment in the classroom without much modifications in the existing academic infrastructure. Keywords: Deaf & mute; Active learning; IoT; device to device; MQTT protocol; Classroom response system.
A Compendious Study of Device-to-Device Communication in Underlaying Cellular Networks by Indrasen Singh, Niraj Pratap Singh Abstract: Device-to-Device (D2D) communication is a new technology used in cellular networks that offer many advantages for the next generation networks (NGNs) such as peer-to-peer (P2P) services, higher spectral efficiency, enhanced throughput and higher data transmission capacity. To attain the rising demands of the cellular users, there is always a need to enhance the network transmission capacity of cellular communication networks. In Long Term Evolution (LTE) and Long Term Evolution-Advanced (LTE-A) networks, the study of D2D communications is being interested in academia, industry person and standardization bodies. In near future, there will be billions of connected user equipment. The NGNs that to be heterogeneous in nature and demanding higher data rates, lesser delays, enhanced system transmission capacity and better throughput. As accessible licensed spectrum assets are limited and for the survival of mobile network operators, it is required to facilitate users as per their rising demands. This paper explores the detailed literature review of D2D communication including their classification based on spectrum used, comparison of other wireless technologies, mobile data traffic growth prediction, advantage and disadvantages, applications and the open issues on the basis of work done so far. Keywords: Device-to-Device communication; Peer-to-Peer Service; Next generation networks; LTE/LTE-A; Fifth Generation (5G).
SFP Based Vertical Handover with MIH Services for Integrated Wi-Fi and WIMAX Networks by Shilpa Litake, Prachi Mukherji Abstract: The seamless vertical handover among different wireless systems are required to offer high quality services. It is attained by the developing standard IEEE 802.21 Media Independent Handover (MIH) services. In this paper, single AP Scanning, Fast ranging and Preregistration (SFP) approach is used in which the target AP is chosen based on the proposed idle capacity and signal strength with hybrid PS-GS algorithm. After selecting the target (Base Station) BS, the handover decision algorithm based on SINR enabled with utilizing RSSI, available bandwidth, and monetary cost. In the proposed vertical handover scenario, the MAC overhead is minimized by reducing the scanning time. The efficiency of the proposed approach is evaluated in terms of scanning time, handover interruption time, handover latency, packet loss, packet delay and throughput. When compared with the existing handover procedures, better results obtained in the proposed handover procedure. The outcomes demonstrate that the hybrid algorithm retains a maximum capacity to escape from local optimums with faster convergence than the standard PSO and GSA. Keywords: Vertical Handover; Access point selection; optimization; SINR; Wi-Fi; WIMAX.
A Cost Effective Solution for the Deployment of Wireless Sensor Networks by Maurizio D'Arienzo, Simon Pietro Romano Abstract: The paper presents a framework for the design and implementation of dynamic sensor networks. The focus is on minimizing the costs associated with deploying such networks, while at the same time making available a fully fledged set of functions. This is achieved by leveraging a modular design based on an easily programmable, cost-effective micro-controller that can be interfaced with a set of heterogeneous sensors and wireless technologies. A real-world implementation of the proposed architecture is described. Our preliminary in-field performance measurements show that such a system can manage, with a high degree of precision and in real-time, a sustained rate of data gathered from mobile units. Keywords: Wireless Sensor Network; ZigBee; PIC; Performance measurements.
Task Classification-aware Data Aggregation Scheduling algorithm in Wireless Sensor Networks by Hongsen Zou, Liang Li, Chen Ao, Puning Zhang, Ning Li, Zheng Wang Abstract: In order to minimize the delay of data aggregation scheduling, a task classification aware data aggregation scheduling algorithm is proposed. Through the multi-power and multi-channel approach of sensor nodes, maximum independent sets are used to construct network topology structure based on data aggregation backbone tree. According to the scheduling priority, the data aggregation scheduling within clusters is achieved by approximating the greedy algorithm. Besides, combined with sparse coefficient, sensing task type reduces the amount of data transmission, and then the level of cluster head nodes in the network is used to achieve data aggregation scheduling between clusters. Numerical results show that the proposed algorithm can reduce cluster heads data traffic and energy consumption, while shortening the data aggregation delay and enhancing the network survivability. Keywords: Wireless Sensor Network; Data Aggregation; Task Classification; Sparse Coefficient; Delay Minimization.