Realistic Cluster-Based Energy-Efficient and Fault-Tolerant (RCEEFT) Routing Protocol for Wireless Sensor Networks (WSNs)

Publication Type

Conference Proceeding

Publication Date (Issue Year)

2020

Journal Name

Advances in Intelligent Systems and Computing, 1129 AISC

Abstract

Despite the numerous research advances in multichannel event reporting (ER) protocols in Wireless Sensor Networks (WSNs), the core issues such as effective energy consumption management, balanced network-wide energy depletion rates, fault-avoidance-based fault tolerance (FT) for network reliability and elimination of needless data redundancies in ER remain challenges that have not received adequate and holistic research considerations commensurable with the recent technological advancements and the skyrocketing demands and permeance of WSN’s applications in all fields of life. RCEEFT is an adaptive cluster-based data acquisition and multichannel routing protocol for WSNs which integrates unique measures to ensure peerless improvement in WSNs’ energy consumption, balanced network-wide energy depletion rates (improved sensor field coverage), fault-avoidance-motivated FT and elimination of needless data redundancies in ER (enhanced accuracy and precision in ER) to extend the WSNs’ lifespan. The experimental results obtained through simulations established RCEEFT as a more realistic protocol and also performs better than EESAA, DEEC, E-DECC, SEP, M-GEAR, D-DEEC, T-DEEC and LEACH in terms of energy efficiency and WSN lifetime, wider coverage sensitivity, balanced network-wide energy depletion rates, FT and elimination of needless data redundancies in ER.

Keywords

Realistic Cluster-Based, Energy-Efficient, Fault-Tolerant (RCEEFT) Routing Protocol, Wireless Sensor Networks

Rsif Scholar Name

Emmanuel Effah

Rsif Scholar Nationality

Ghana

Cohort

Cohort 1

Thematic Area

ICTs Including Big Data and Artificial Intelligence

Africa Host University (AHU)

University of Gaston Berger (UGB), Senegal

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