EconPapers    
Economics at your fingertips  
 

A novel multi-objective coverage optimization memetic algorithm for directional sensor networks

Aimin Wang, Yingnan Gao, Jing Wu, Geng Sun and Wenjuan Jia

International Journal of Distributed Sensor Networks, 2016, vol. 12, issue 7, 1550147716657923

Abstract: For the target problem of a directional wireless sensor network, the greedy algorithm can easily fall into the local optimal solution, whereas the genetic algorithm must forecast the lifetime of the upper bound of the network. We propose a novel multi-objective coverage optimization memetic algorithm that encodes the solutions as chromosomes and simulates the biological evolution process in search for a favourable solution to address the aforementioned problems. Experimental results show that the proposed algorithm can prolong the network lifetime more effectively than similar heuristic algorithms in other studies.

Keywords: Directional sensors; target problem; memetic algorithm; network lifetime (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1550147716657923 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:12:y:2016:i:7:p:1550147716657923

DOI: 10.1177/1550147716657923

Access Statistics for this article

More articles in International Journal of Distributed Sensor Networks
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:intdis:v:12:y:2016:i:7:p:1550147716657923