International Journal of Recent Trends in Engineering & Research

online ISSN

Self Adaptive Energy Efficient Data Collection in Wireless Sensor Networks

Publication Date : 27/03/2019

DOI : 10.23883/IJRTER.CONF.20190322.049.QLXTG

Author(s) :

A.Narendra kumar , A.Karthikeyan.

Conference Name :
1st International Conference on New Scientific Creations in Engineering and Technology - 2019

Abstract :

Wireless Sensor Networks (WSNs) are normally self- sorted out remote adhoc systems created by large number of low cost small scale sensor nodes. These nodes are little in size and are worked by battery sources which can't be effectively replaced or recharged. Because of energy requirement, the node must total a predefined task with minimum energy dissipation and prolong the system's lifetime. In WSN during the data transmission stage sleep/wake-up scheduling is additionally one of the key issues. The purpose for sleep/wake-up scheduling is to save the energy of every node by keeping nodes in rest mode to the extent that this would be possible and subsequently expanding their lifetime. In this paper, a Self Adaptive-Sleep/Wake-up Scheduling (SA-SWS) protocol utilizing Cooperative Media Access Control (CMAC) allocates the timeslots to forward information from the source to sink. The nodes which are having the most noteworthy residual energy are chosen as the forwarding nodes. In this methodology, the reinforcement learning technique, was utilized to empower every node to independently choose its very own operation mode in a decentralized way. Simulation results exhibit the great performance compared with the other methodology for previously mentioned problem

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