Adaptive protocols for information dissemination in wireless sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
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Small worlds: the dynamics of networks between order and randomness
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DSN '00 Proceedings of the 2000 International Conference on Dependable Systems and Networks (formerly FTCS-30 and DCCA-8)
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
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WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
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ICNP '03 Proceedings of the 11th IEEE International Conference on Network Protocols
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SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
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ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
Proceedings of the 11th workshop on ACM SIGOPS European workshop
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
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ACM Transactions on Sensor Networks (TOSN)
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Journal of Parallel and Distributed Computing
Efficient Sensing Topology Management for Spatial Monitoring with Sensor Networks
Journal of Signal Processing Systems
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We investigate four performance metrics for randomized broadcast protocols on sensor networks: the fraction of nodes that receive the message (coverage), the number of first-time receivers per transmission (energy efficiency), the node-average normalized time till reception (per hop latency), and the average number of control messages per node (overhead). Our focus is to evaluate the extent to which the exchange of local information (either active or passive) can improve protocol performance. To this end we study via simulation three protocols from the literature that exploit local information (GOSSIP3 from [8], SPIN-1 from [10], and PUSH&PULL from [12])and compare their performance against the well known GOSSIP1 ([8]) protocol which does not employ any local information in making transmission decisions. Our findings are that i) local information is of course quite valuable in increasing protocol performance, and ii) it is possible to obtain high coverage and efficiency but one must then incur either increased delay or increased overhead. We study the strengths and weaknesses of the above protocols and propose the new SmartGossip protocol which combines several ideas from the above protocols, as well as several new mechanisms, to achieve superior performance.