Paper Info
Title
Application of Harmony Search Optimization Algorithm to Improve Connectivity in Wireless Sensor Network with Non-uniform Density.
Abstract
Low connectivity is a challenging problem in wireless communication sensor networks with non-uniform sensor node densities. Reliable information transmission requires the full connectivity of the network because of the multi-hop communication of wireless sensor networks. A network is fully connected if each pair of nodes can communicate with each other, either directly or through intermediate relay nodes. The current study presents a Harmony Search (HS) algorithm to improve the connectivity of the non-uniform density wireless sensor networks. HS is a meta-heuristic algorithm, which mimics the actions of harmonizing musical instruments, including memory-based, random, and pitch-adjusted play, during improvisation. In the present work, HS is used to optimize the phase shift parameters of sensors node inside the cluster to ensure maximum radiation field at the reception point. This process results in a significant increase in the coverage area of cluster nodes, consequently increasing network connectivity.
Year
Venue
Keywords
2015
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
harmony search algorithm,wireless sensor networks,connectivity,non-uniform density,cooperative transmission
Field
DocType
Volume
Sensor node,Wireless network,Key distribution in wireless sensor networks,Wireless,Computer science,Brooks–Iyengar algorithm,Computer network,Harmony search,Mobile wireless sensor network,Wireless sensor network,Distributed computing
Journal
31
Issue
ISSN
Citations 
4
1016-2364
3
PageRank 
References 
Authors
0.39
12
3
Name
Order
Citations
PageRank
Ali Shanon Alsaidi130.39
Tat-Chee Wan212017.01
Alhamza Munther330.73