Open Access Journal

ISSN : 2394-6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

An Optimal Simulated Annealing Approach for Energy Efficient Data Aggregation in Wireless Sensor Network

Author : Shreya Chaturvedi 1 Nazia Parveen 2

Date of Publication :21st July 2021

Abstract: WSNs (Wireless Sensor Networks) are distinguished by their elements' low energies & thus useful protocols for better optimization are often important. WSN has important applications, like structural health monitoring, aim military monitoring, habitat monitoring, etc. Due to the availability of cheaper and smarter sensors, but with battery support, they have advanced. Heterogeneous WSNs can enhance network existence and have improved networking and service efficiency than homogenous WSNs. The research, therefore, proposes grid clustering & fuzzy-model-based scheme to optimize network lifetime and energy- efficient data aggregation for distributed WSN. Grid clustering is utilized for cluster formation as well as cluster head (CH) selection. A Fuzzy Sugeno Model is often used for select parameter-based data aggregator nodes, like neighborhood overlap, distance & algebraic connectivity. Eventually, the mobile sink's dynamic relocation is carried out using the simulated annealing algorithm inside the grid-based clustered network region. The experimental findings showed that the proposed data aggregation scheme offers superior energy efficiency and network life performance in contrast with earlier schemes.

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DOI : 10.36647/ijerece/0000