Abstract

This work proposes an energy-saving protocol for wireless sensor networks (WSNs) using fuzzy logic and grids with two-dimensional techniques, namely, gravity and energy centers, to address the pressing issue of energy efficiency in WSNs. The optimal cluster head is chosen in two stages of the proposed protocol to prolong the network lifetime and reduce the energy consumption. The proposed protocol evaluated the cluster-head radius according to the residual energy and distance to the base station(BS) parameters of the sensor nodes. The proposed scheme shows better improvements than other related protocols as it extends the lifetime of Two Dimensional Technique Based On Center of Gravity and Energy Center (TDTCGE) protocol by 54\% and saves more energy. Fuzzy inference engine (Mamdani's rule) is used to elect the chance to be the best node. The results have been derived from matlab simulator which shows that the proposed protocol performs better than the TDTCGE protocol. Simulation results show also that our protocol offers a much better network lifetime and energy efficiency than other existing protocols.

Highlights

  • Wireless sensor networks(WSNs) are generally utilized in diverse fields, which incorporate catastrophe aid projects and programs for agribusiness and social insurance [1]

  • If there is no other node within its cluster range with lesser fuzzy cost value, it declares itself as the cluster heads (CHs) and broadcast final CH message within its cluster range

  • The energy consumptions of radios for sending and accepting information are both communicated as Eelect; the free space and the multi-path blurring channel models with particular intensifying lists ε fs and ε mp are utilized; the energy utilization of information combination is indicated by EDA

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Summary

INTRODUCTION

Wireless sensor networks(WSNs) are generally utilized in diverse fields, which incorporate catastrophe aid projects and programs for agribusiness and social insurance [1]. A WSN is made of individual nodes/sensors that respond to physical parameters in its condition. Be that as it may, these nodes here and there rely upon batteries rather on a wired power supply [2]. Given the by and large long activity time in WSNs, such reliance represents an issue, especially as far as the energy productivity of correspondence protocols. In any case, such case isn't constantly watched, as different applications may

LITERATURE REVIEW
Network Model
Energy Consumption
LIMITATION OF THE TDTCGE THAT FLG PROPOSED
PROPOSED PROTOCOL
Fuzzy Ranking System
RESULT
Findings
CONCLUSIONS
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