|
|
 |
| |
|
|
|
Sensor Node Deployment in Wireless Sensor Networks based on Ionic Bond-Directed Particle Swarm Optimization |
|
|
|
PP: 597-605 |
|
|
|
Author(s) |
|
|
|
Haiping Huang,
|
|
|
|
Abstract |
|
|
| Sensor node deployment is one of the critical topics addressed in wireless sensor networks (WSNs) research, which
determines coverage efficiency of WSNs. This paper proposes a self-organizing algorithm for enhancing the coverage for WSNs,
which is so-called Ionic bond-directed particle swarm optimization (IBPSO). The proposed algorithm combines the ionic bond
method with particle swarm optimization (PSO), where ionic bond method uses a judicious ionic bond between two sensor nodes to
determine which node needs to move and also the path and direction of the movement and PSO is suitable for solving multi-dimension
function optimization in continuous space. Simulation results demonstrate that IBPSO has more satisfactory performance on regional
convergence and global searching than PSO algorithm and can implement dynamic deployment of WSNs more efficiently and rapidly. |
|
|
|
|
|
|
|
