Abstract
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.
Highlights
Wireless sensor networks (WSN) are conformed by a set of interconnected spatially-distributed sensors
Level 0 nodes (L0) nodes transmit to Level 1 nodes (L1) nodes, and L1 nodes retransmit to the sink node
The sink node does not move: it remains in the center of the deployment area
Summary
Eva González-Parada † , Jose Cano-García *,† , Francisco Aguilera † , Francisco Sandoval †. In both cases, the goals are: (i) to achieve adequate coverage; and (ii) to extend network life. 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. 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 analyzes the differences between non-hierarchical and hierarchical routing configurations in terms of network life and coverage
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