Expectation – Maximization Clustering using Gaussian Mixture Model For Energy Efficient Routing Protocol in Wireless Sensor Network

Electronic and Communication

Thei Wirelessi Sensori Networki (WSN)i isi introducedi ini orderi toi performi thei wirelessi communication,i ini whichi thei endi usersi cani havei thei poweri ofi movementi ini thei networki ati anywherei anytime.i Routingi isi ai fundamentali operationi ini WSNi wherei ai sourcei nodei transmitsi ai messagei thati isi toi bei disseminatedi toi appropriatei nodesi ini thei Network.i Nodesi ini WSNi arei formingi ai dynamici topologyi byi thati thei nodesi arei continuouslyi changingi theiri location.i Efficiencyi ofi Routei huntingi ini mobilei ad-hoci networki isi dependenti uponi blindi floodingi ofi routei requesti packetsi ini network.i Blindi floodingi ofi routei requesti packetsi leadi toi increasedi redundancyi overi thei networks.i Thesei datai redundancyi overi thei networki unnecessarilyi increasei conjunctioni andi traffici overi thei network. Ini thisi paper,i nodei ini networki arei bipartitei ini twoi energyi overi traffici groupi ie.i Highi traffici areai nodei andi lowi traffici areai node.i Batteryi poweri ofi highi traffici areai nodei isi graduallyi decreasei ati highi ratei whereasi batteryi poweri ofi lowi traffici areai nodei arei degradedi withi loweri rate.i Proposedi worki use batteryi poweri indicatori toi swapi thei nodei fromi lowi traffici areai toi highi traffici areai toi maintaini energyi leveli andi toi maintaini longeri survivali ofi ai network.i Thisi methodologyi isi usedi to selecti nodei fromi littlei traffici areai takingi advancedi residuali energyi limiti toi deliveri supplementi supporti toi lowi energyi nodei ini highi traffici zone.i Expectation – Maximization isi usedi toi selecti swappingi nodei fromi lowi traffici areai havingi similari characteristicsi withi loweri responsibilityi andi liesi ati minimumi hopi distancei fromi requestingi node.i Expectation – Maximization selecti swappingi nodei withi minimumi energy overhead which also lead longer survival of network.

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