On k-coverage in a mostly sleeping sensor network
Proceedings of the 10th annual international conference on Mobile computing and networking
Uncertainty-aware and coverage-oriented deployment for sensor networks
Journal of Parallel and Distributed Computing
The holes problem in wireless sensor networks: a survey
ACM SIGMOBILE Mobile Computing and Communications Review
Lightweight deployment-aware scheduling for wireless sensor networks
Mobile Networks and Applications
StarDust: a flexible architecture for passive localization in wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Air-dropped sensor network for real-time high-fidelity volcano monitoring
Proceedings of the 7th international conference on Mobile systems, applications, and services
Relay node placement in large scale wireless sensor networks
Computer Communications
Swarm based sensor deployment optimization in ad hoc sensor networks
ICESS'05 Proceedings of the Second international conference on Embedded Software and Systems
Primate-Inspired Communication Methods for Mobile and Static Sensors and RFID Tags
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Brief announcement: set it and forget it - approximating the set once strip cover problem
Proceedings of the twenty-fifth annual ACM symposium on Parallelism in algorithms and architectures
Hi-index | 0.00 |
The performance of wireless sensor networks in terms of coverage, connectivity, lifetime and robustness is greatly influenced by the initial physical placement of the sensor nodes. In this paper we propose a novel deployment method for sensor nodes, when a large number of nodes is distributed from the air in a monitoring region that is inaccessible from the ground. In our deployment method, each sensor node is equipped with a parachute and a device to switch between its two falling behaviours (gliding and falling) in the air. After being dropped from midair, sensor nodes stochastically coordinate their falling behaviour in order to distribute themselves uniformly in the monitoring region. In addition, each sensor node exchanges messages with neighbouring nodes while being airborne and it changes its falling behaviour according to the density of the neighbouring nodes in order to reduce non-uniform areas. Through simulation evaluations, we confirm that our proposal can achieve a high uniformity in the placement of the nodes compared to a traditional airdrop method.