| Sensors | |
| A Social Potential Fields Approach for Self-Deployment and Self-Healing in Hierarchical Mobile Wireless Sensor Networks | |
| Francisco Sandoval1  Eva González-Parada1  Jose Cano-García1  Cristina Urdiales1  Francisco Aguilera1  | |
| [1] Departamento de Tecnologia Electronica, ETSI Telecomunicacion, Campus de Teatinos s/n, University of Malaga, Malaga 29010, Spain; | |
| 关键词: mobile sensor networks; WSN; autonomous deployment; SPF; hierarchical routing; geographic routing; self-healing; robots; | |
| DOI : 10.3390/s17010120 | |
| 来源: DOAJ | |
【 摘 要 】
Autonomous mobile nodes in mobile wireless sensor networks (MWSN) allow self-deployment and self-healing. In both cases, the goals are: (i) to achieve adequate coverage; and (ii) to extend network life. In dynamic environments, nodes may use reactive algorithms so that each node locally decides when and where to move. This paper presents a behavior-based deployment and self-healing algorithm based on the social potential fields algorithm. In the proposed algorithm, nodes are attached to low cost robots to autonomously navigate in the coverage area. The proposed algorithm has been tested in environments with and without obstacles. Our study also analyzes the differences between non-hierarchical and hierarchical routing configurations in terms of network life and coverage.
【 授权许可】
Unknown