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)
Adaptive Triangular Deployment Algorithm for Unattended Mobile Sensor Networks
IEEE Transactions on Computers
Snap and Spread: A Self-deployment Algorithm for Mobile Sensor Networks
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
Connectivity-Guaranteed and Obstacle-Adaptive Deployment Schemes for Mobile Sensor Networks
ICDCS '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems
Grassroots approach to self-management in large-scale distributed systems
UPP'04 Proceedings of the 2004 international conference on Unconventional Programming Paradigms
Energy-efficient deployment of Intelligent Mobile sensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A novel sensor node relocation approach to maintain connectivity with a center of interest
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Energy-aware sensor node relocation in mobile sensor networks
Ad Hoc Networks
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In this paper we propose an algorithm for the autonomous deployment of mobile sensors over critical target areas where sensors cannot be deployed manually. The application of our approach does not require prior knowledge of the working scenario nor any manual tuning of key parameters. Our algorithm is completely distributed and sensors make movement decisions on the basis of locally available information. We prove that our approach guarantees a complete coverage, provided that a sufficient number of sensors are available. Furthermore, we demonstrate that the algorithm execution always terminates preventing movement oscillations. We compare our proposal with one of the most acknowledged algorithms by means of extensive simulations, showing that our algorithm reaches a complete and more uniform coverage under a wide range of operating conditions.