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DELAY MITIGATION BY OLSR (Optimized Link State Routing) AND K-LEACH CLUSTERING
Akhil Kamlakar Jajulwar, Sweta Arun Bokade

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-8, pp.54-59, Aug 2017
DPI :-> 16.10046.IJCESR.2017.V4I8.5459.1809



Abstract
Wireless network is a new standard specifically designed for real-time and reliable communication between sensors and sink devices for industrial process monitoring and control applications. End-to-end communication delay analysis for Wireless networks is required to determine the schedulability of real-time data flows from sensors to sink for the purpose of acceptance test or workload adjustment in response to network dynamics. In this paper, we consider a network model based on Wireless, and map the scheduling of real-time periodic data flows in the network to real-time multiprocessor scheduling. We then exploit the response time analysis for multiprocessor scheduling and propose a novel method for the delay analysis that establishes an upper bound of the end-toend communication delay of each real-time flow in the network. Simulation studies based on both random topologies and real network topologies of anode physical wireless sensor network test demonstrate that our analysis provides safe and reasonably tight upper bounds of the end-to-end delays of real-time flows, and hence enables effective schedulability tests for Wireless networks. KLEACH protocol is proposed to reduce average energy consumption of network and enhance the network lifetime which ensures high availability of sensor nodes and so high reliability of data transmission to sink node which ultimately makes the entire network reliable

Key-Words / Index Term
AODV, Congestion, delay, OLSR, K-Leach.

How to cite this article
Akhil Kamlakar Jajulwar, Sweta Arun Bokade , “DELAY MITIGATION BY OLSR (Optimized Link State Routing) AND K-LEACH CLUSTERING”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-8, pp.54-59, Aug 2017. DPI:16.10046.IJCESR.V4.I8.1809