Novella Bartolini
ABSTRACT
The use of mobile sensors is of great relevance for a number of strategic applications devoted to monitoring critical areas where sensors can not be deployed manually. In these networks, each sensor adapts its position on the basis of a local evaluation of the coverage efficiency, thus permitting an autonomous deployment. Several algorithms have been proposed to deploy mobile sensors over the area of interest. The applicability of these approaches largely depends on a proper formalization of rigorous rules to coordinate sensor movements, solve local conflicts and manage possible failures of communications and devices. In this paper we introduce P&P, a communication protocol that permits a correct and efficient coordination of sensor movements in agreement with the PUSH&PULL algorithm. We deeply investigate and solve the problems that may occur when coordinating asynchronous local decisions in the presence of an unreliable transmission medium and possibly faulty devices such as in the typical working scenario of mobile sensor networks. Simulation results show the performance of our protocol under a range of operative settings, including conflict situations, irregularly shaped target areas, and node failures.
- G. Anastasi, M. Conti, A. Falchi, E. Gregori, and A. Passarella. Performance measurements of mote sensor networks. ACM MSWiM, 2004. Google Scholar
Digital Library
- N. Bartolini, T. Calamoneri, E. Fusco, A. Massini, and S. Silvestri. Push&pull: autonomous deployment of mobile sensors for a complete coverage. ACM Winet, 2009.Google Scholar
- N. Bartolini, T. Calamoneri, E. G. Fusco, A. Massini, and S. Silvestri. Snap&spread: a self-deployment algorithm for mobile sensor networks. IEEE/ACM DCOSS, 2008. Google ScholarDigital Library
- P. Brass. Bounds on coverage and target detection capabilities for models of networks of mobile sensors. ACM Trans. Sensor Networks, 2007. Google ScholarDigital Library
- J. Chen, S. Li, and Y. Sun. Novel deployment schemes for mobile sensor networks. Sensors, 7, 2007.Google Scholar
- M. Garetto, M. Gribaudo, C.-F. Chiasserini, and E. Leonardi. A distributed sensor relocation scheme for environmental control. ACM/IEEE MASS, 2007.Google Scholar
- N. Heo and P. Varshney. Energy-efficient deployment of intelligent mobile sensor networks. IEEE Trans. Systems, Man and Cybernetics, 2005. Google ScholarDigital Library
- W. Kerr, D. Spears, W. Spears, and D. Thayer. Two formal fluid models for multi-agent sweeping and obstacle avoidance. AAMAS, 2004.Google Scholar
- M. R. Pac, A. M. Erkmen, and I. Erkmen. Scalable self-deployment of mobile sensor networks; a fluid dynamics approach. Proc. of IEEE/RSJ IROS, 2006.Google ScholarCross Ref
- S. Poduri and G. S. Sukhatme. Constrained coverage for mobile sensor networks. IEEE ICRA, 2004.Google ScholarCross Ref
- G. Wang, G. Cao, and T. L. Porta. Proxy-based sensor deployment for mobile sensor networks. IEEE MASS, 2004.Google Scholar
- G. Wang, G. Cao, and T. L. Porta. Movement-assisted sensor deployment. IEEE Trans. Mobile Computing, 2006. Google ScholarDigital Library
- Y. Zou and K. Chakrabarty. Sensor deployment and target localization based on virtual forces. IEEE INFOCOM, 2003.Google ScholarCross Ref
Index Terms
- P&P protocol: local coordination of mobile sensors for self-deployment
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