Paper Info
Title
Ant Colony Optimization Approaches in Wireless Sensor Network: Performance Evaluation.
Abstract
Wireless Sensor Network (WSN) has been widely implemented in large sectors such as military, habitat, business, industrial, health and environment. WSN is part of a distributed system where elements such as routing, load balancing, energy efficiency, node localization, time synchronization, data aggregation and security need to be addressed to improve its efficiency, robustness, extendibility, applicability and reliability. Despite multiple approaches proposed to improve all these aspects, there is still room for improvement in order to enhance the capability of WSN in terms of routing and energy efficiency. Ant Colony Optimization (ACO) is one of the approaches used to extend WSN capabilities because its heuristic nature is very suitable with distributed and dynamic environments. This study covers the common WSN aspects and performance evaluation criteria in addition to the list of previous studies that have used ACO approaches in WSN.
Year
Venue
Field
2017
JCS
Ant colony optimization algorithms,Heuristic,Load balancing (computing),Efficient energy use,Computer science,Time synchronization,Computer network,Robustness (computer science),Wireless sensor network,Data aggregator,Distributed computing
DocType
Volume
Issue
Journal
13
6
Citations 
PageRank 
References 
0
0.34
28
Authors
3
Name
Order
Citations
PageRank
Husna Jamal Abdul Nasir100.68
Ku Ruhana Ku Mahamud2229.33
Eiji Kamioka39621.65