Name
Abstract | ||
|---|---|---|
This paper addresses the issues associated with deployment of sensors, which are critical in wireless sensor networks. This paper provides an improved particle swarm optimization (PSO) algorithm by changing the basic form of PSO and introducing disturbance (d-PSO). By comparing with other PSO-based algorithms, simulation results show that the d-PSO algorithm provides a good-coverage solution with a satisfying coverage rate in a short time. This feature is especially useful for the rapid deployment of sensors. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.20965/jaciii.2014.p0107 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS |
Keywords | Field | DocType |
wireless sensor networks, deployment, particle swarm optimization, disturbance | Particle swarm optimization,Key distribution in wireless sensor networks,Software deployment,Computer science,Real-time computing,Artificial intelligence,Wireless sensor network,Machine learning | Journal |
Volume | Issue | ISSN |
18 | 2 | 1343-0130 |
Citations | PageRank | References |
3 | 0.50 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuxin Ding | 1 | 10 | 1.29 |
| Chen Chen | 2 | 6 | 2.22 |
| Jie Chen | 3 | 392 | 65.58 |
| Bin Xin | 4 | 265 | 24.77 |