Movement-Assisted Sensor Deployment
IEEE Transactions on Mobile Computing
Bounds on coverage and target detection capabilities for models of networks of mobile sensors
ACM Transactions on Sensor Networks (TOSN)
Energy-efficient deployment of Intelligent Mobile sensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Autonomous Deployment of Self-Organizing Mobile Sensors for a Complete Coverage
IWSOS '08 Proceedings of the 3rd International Workshop on Self-Organizing Systems
Localized Sensor Self-deployment with Coverage Guarantee in Complex Environment
ADHOC-NOW '09 Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks
More is more: The benefits of denser sensor deployment
ACM Transactions on Sensor Networks (TOSN)
Robotics and Autonomous Systems
Hi-index | 0.00 |
The use of mobile sensors is motivated by the necessity to monitor critical areas where sensor deployment cannot be performed manually. In these working scenarios, sensors must adapt their initial position to reach a final deployment which meets some given performance objectives such as coverage extension and uniformity, total moving distance, number of message exchanges and convergence rate.We propose an original algorithm for autonomous deployment of mobile sensors called Snap & Spread. Decisions regarding the behavior of each sensor are based on locally available information and do not require any prior knowledge of the operating conditions nor any manual tuning of key parameters. We conduct extensive simulations to evaluate the performance of our algorithm. This experimental study shows that, unlike previous solutions, our algorithm reaches a final stable deployment, uniformly covering even irregular target areas. Simulations also give insights on the choice of some algorithm variants that may be used under some different operative settings.