Call For Paper Volume:7 Issue:1 Jan'2020 |

Energy Efficient Sleep Scheduling for Improvement of Critical Event Monitoring in WSN

Publication Date : 24/07/2015

Author(s) :

Ms. Sneha Mohanrao Patil , Mrs. Archana B. Kanwade.

Volume/Issue :
Volume 2
Issue 7
(07 - 2015)

Abstract :

A Wireless Sensor Network (WSN) consisting of tiny sensing devices for monitoring the event of environmental condition such as gas monitoring in coal mines, battlefield surveillance and inventory tracking etc. and allows the network real time environment. As soon as a critical event is detected at a particular node, an alarm message should be broadcast to the entire network. Therefore, broadcasting delay is an important issue for the application of the critical event monitoring. So to minimize the broadcasting delay, the need is to minimize the time wasted for waiting during the broadcasting. The existing scenario is the destination nodes wake up immediately when the source nodes obtain the broadcasting packets. As sensor nodes are mostly battery operated for event monitoring are expected to work for a long time without recharging their batteries, also it is undesirable or impossible to recharge or replace the battery power of all the sensors. Therefore, the new trend towards the energy efficient sleep scheduling design which extends system lifetime without sacrificing system reliability is one important challenge to the design of a large wireless sensor network. Obviously, sleep scheduling could cause transmission delay because sender nodes should wait until receiver nodes are active and ready to receive the message. Therefore the objective of this paper is advancement in protocols of delay-efficient sleep scheduling method needs to be designed to ensure the energy conservation and low broadcasting delay to increasing the lifetime in any node in the WSN. Therefore the proposed algorithm is compared with results of two known existing algorithm: the Low Energy Adaptive Clustering Hierarchy (LEACH) and Data Routing for In Network Aggregation (DRINA). The result of proposed algorithm provides the best results of energy conservation and minimum broadcasting delay in different nodal configuration and different performance parameters in WSN. This work has been done on the Network Simulator-2 a simulation platform for WSN. 

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Energy Efficient Sleep Scheduling for Improvement of Critical Event Monitoring in WSN

July 22, 2015