Exposure in wireless Ad-Hoc sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Sensor deployment strategy for target detection
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Infrastructure tradeoffs for sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
An Incremental Self-Deployment Algorithm for Mobile Sensor Networks
Autonomous Robots
Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
Individual Contour Extraction for Robust Wide Area Target Tracking in Visual Sensor Networks
ISORC '06 Proceedings of the Ninth IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing
Swarm based sensor deployment optimization in ad hoc sensor networks
ICESS'05 Proceedings of the Second international conference on Embedded Software and Systems
Relay shift based self-deployment for mobility limited sensor networks
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Energy-efficient deployment of Intelligent Mobile sensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Sensor network deployment and its maintenance are very challenging due to hostile and unpredictable nature of environments. The field coverage of a wireless sensor network (WSN) can be enhanced and consequently network lifetime can be prolonged by optimizing the sensor deployment with a finite number of sensors. In this paper, we propose an energy-efficient fuzzy optimization algorithm (EFOA) for movement assisted self-deployment of sensor networks based on three descriptors - energy, concentration and distance to neighbors. The movement of each sensor node is assumed relatively limited to further reduce energy consumption. The existing next-step move direction formulas are improved to be more realistic. We also propose a network maintenance strategy in the post-deployment phase based on the sensor node importance level ranking. Simulation results show that our approach not only achieves fast and stable deployment but also greatly improves the network coverage and energy efficiency as well as prolongs the lifetime.