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A Social Potential Fields Approach for Self-Deployment and Self-Healing in Hierarchical Mobile Wireless Sensor
Eva González-Parada1, Jose Cano-García2, Francisco Aguilera3
1Departamento de Tecnologia Electronica, ETSI Telecomunicacion, Campus de Teatinos s/n, University of Malaga, Malaga 29010, Spain. gonzalez@uma.es.
This study introduces a novel algorithm for autonomous mobile nodes in wireless sensor networks, enhancing network coverage and lifespan through self-deployment and self-healing capabilities. The research explores reactive, behavior-based strategies for mobile sensor networks.
Area of Science:
- Computer Science
- Robotics
- Network Engineering
Background:
- Mobile wireless sensor networks (MWSN) require efficient self-deployment and self-healing mechanisms.
- Achieving adequate coverage and extending network life are critical challenges in dynamic MWSN environments.
- Reactive algorithms enable nodes to make local movement decisions.
Purpose of the Study:
- To present a behavior-based deployment and self-healing algorithm for MWSN.
- To utilize social potential fields for autonomous node navigation.
- To analyze the impact of routing configurations on network performance.
Main Methods:
- Developed a behavior-based algorithm using social potential fields.
- Integrated nodes with low-cost robots for autonomous navigation.
- Tested the algorithm in environments with and without obstacles.
- Compared non-hierarchical and hierarchical routing strategies.
Main Results:
- The proposed algorithm facilitates autonomous navigation for self-deployment and self-healing.
- The system effectively achieves adequate coverage and extends network life.
- Obstacles in the environment were considered during testing.
- Differences in network life and coverage were observed between routing configurations.
Conclusions:
- The social potential fields algorithm provides an effective approach for autonomous MWSN operations.
- The method supports both network deployment and self-healing functionalities.
- Routing strategy significantly impacts MWSN longevity and coverage effectiveness.
