International Journal of Mobile Network Design and Innovation (8 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.
Surviving Node-Node Failures within Wireless Networks for a Near Optimal Ant Colony System Message Re-routing
by Ayoade Owoade, Isaac Osunmakinde
Abstract: This research develops the Ant Colony System (ACS) survivability model based on capacity efficiency and fast restoration to swiftly resolve node-node failure problems for increasing quality of service. The resilience of the swarm model was tested on such failures at different locations on 20, 26 and 30 node wireless networks. The proposed ACS-based capacity efficiency model was able to generate near optimal paths, the bandwidth required for fast re-routing, the transmission delay and the transmission time for re-routing voice messages. Increased multiple node failures revealed that transmission delay is high when insufficient bandwidth is used for message transmission. Further experiments revealed that the higher the number of nodes on the network, the higher the bandwidth required to transmit a message effectively. Hence, the ACS-based capacity efficiency model therefore outperforms the Dijkstra algorithm, adaptive and reactive restoration models in terms of speed of transmission, transmission delay and running time complexity. The new solution paths generated from these experiments demonstrated that the proposed swarm technology is feasible for current business applications that require high speed/broadband networks.
Keywords: Routing; Wireless networks; Telecommunication; Survivability; Fault-tolerance; Ant Colony System; Optimisation; Artificial intelligence; Quality of Service.
DESIGN, DEVELOPMENT AND ANALYSIS OF AN IOT BASED FRAMEWORK FOR MONITORING AQUACULTURE FARMS
by Zeenat Shareef, S.R.N. Reddy
Abstract: Aquaculture is one of the most popular occupation for the people in the coastal regions of India. Thousands of farmers depend on the yield generated from aquaculture business for their livelihood. Due to various factors, the water in fishery farms gets polluted, which hampers the growth and yield of fish and shrimp. The traditional approaches followed by Indian aquaculture farmers to measure water quality in their farms is slow and inaccurate. This paper highlights the design and development of a wireless sensor network (WSN) for Indian aquaculture farmers for real time assessment and control of the water quality in their farms. Such a system offers flexibility, efficiency, remote monitoring and early warning to the farmers to take preventive measures in time. This paper also presents the power consumption of the sensor node and analysis of the network parameters of the designed sensor network in terms of Received Signal Strength Indicator (RSSI) and packet loss (%) for its robust and efficient design and deployment.
Keywords: Network Analysis; Power Consumption; Self -Autonomous Sensor Node; Real Time Assessment.
Optimizing the multiplexing gain in Cloud RAN using the Minimum Spanning Tree algorithm
by Remigiusz Prokopiak
Abstract: The Cloud Radio Access Network (Cloud-RAN) has been proposed as a cost efficient way of serving the increasing mobile traffic. The basic idea, supporting the cost efficiency, is the statistical multiplexing gain. Such a gain can be achieved when reusing the same processing power, realizing BBU functions, for different, spatially distributed cells. Cells served by a single BBU pool need to be close to each other to support the mobility (handovers) and improve coordination.\r\nThis article proposes the clustering algorithm, based on the minimum spanning tree (MSP). The algorithm allocates the geographically distributed sites onto a predefined set of BBU pools, keeping the clusters compact while achieving high multiplexing gain. We created, using the described algorithm, the BBU pools based on data traffic statistics from commercial network. We compared the multiplexing gain achieved with the maximum multiplexing gain achievable having given the daily profiles of analyzed sites.
Keywords: Baseband Unit; BBU; BBU pooling; Radio Access Network; Cloud-RAN; Minimum Spanning Tree; statistical multiplexing gain; pooling gain.