Spherical Grid Protocol to Enhance Quality of Service to Resource Constrained Wireless Sensor Networks
International Journal of Sensors and Sensor Networks
Volume 4, Issue 1, February 2016, Pages: 1-6
Received: Jan. 12, 2016; Accepted: Jan. 25, 2016; Published: Feb. 14, 2016
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Authors
Jai Prakash Prasad, Visvesvaraya Technological University, Research Resource Centre, Belgaum, Karnataka, India
Suresh Chandra Mohan, Department of ECE, Bapuji Institute of Engineering & Technology, Davangere, Karnataka, India
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Abstract
Wireless Sensor Network (WSN) is an emerging wireless communication networks to provide potential secure optimized data routing between source and destination. Presently the performance analysis of the Wireless Sensor Network routing technique and security protocols is the major research issues. A major issue in wireless sensor network (WSN) is the energy constraint in a node and its limited computing resources, which may pose an operational hazard or limitations on the network lifetime. Therefore, analyses of innovative secure routing techniques are required to utilize the resources of WSN to improve the life time of network in WSN. To design & develop any innovative wireless sensor network routing and security protocol, the network characteristics & its design issues are important consideration. The proposed spherical Grid Routing Protocol (SGRP) is designed and developed to enhance Quality of service to improve WSN performance using NS2 simulator compare to compared to modified LEACH techniques. The packet transmitted, packet received, average energy, throughput and packet delivery ratio are the main common performance measures that are used for performance analysis of proposed SGRP protocols.
Keywords
Wireless Sensor Network, Routing Protocols, NS2 Simulator, Packet Drop, Average Energy, Throughput, Packet Delivery Ratio
To cite this article
Jai Prakash Prasad, Suresh Chandra Mohan, Spherical Grid Protocol to Enhance Quality of Service to Resource Constrained Wireless Sensor Networks, International Journal of Sensors and Sensor Networks. Vol. 4, No. 1, 2016, pp. 1-6. doi: 10.11648/j.ijssn.20160401.11
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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