Abstract
Random deployment of sensor nodes most times generates an initial communication gap in the sensing field even in a highly dense network. These communication gaps still exist even when these sensor nodes are deployed in a structured manner. In either case, the resulting inter-node distances may cause lack of communication and subsequently degrades the network performance. Previous work showed that relay nodes have the capability of enhancing the communication among nodes in the network. In order to achieve better communication and extend the network lifetime, sensor nodes are deployed in a careful manner with the help of such relay nodes. This paper proposes an enhanced deployment algorithm based on Differential Evolution (DE). The algorithm aims at extending network lifetime by using a minimum number of relays. Results show that the proposed approach improves the network lifetime considerably compared to previous solution such as SP3D algorithm.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014 |
| Publisher | IEEE Computer Society |
| Pages | 131-137 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781479971008 |
| DOIs | |
| State | Published - 2014 |
Publication series
| Name | Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA |
|---|---|
| Volume | 2014 |
| ISSN (Print) | 2161-5322 |
| ISSN (Electronic) | 2161-5330 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- Differential Evolution
- Laplacian matrix
- Wiener index
- optimization
- relay nodes
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
- Signal Processing
- Control and Systems Engineering
- Electrical and Electronic Engineering