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Adaptive Probability-Based Broadcast Forwarding in Energy-Saving Sensor Networks

Cigdem Sengul 1 Matthew Miller 2 Indranil Gupta 3
1 ASAP - As Scalable As Possible: foundations of large scale dynamic distributed systems
UR1 - Université de Rennes 1, Inria Saclay - Ile de France, INSA - Institut National des Sciences Appliquées, CNRS - Centre National de la Recherche Scientifique : UMR
Abstract : Networking protocols for multihop wireless sensor networks (WSNs) are required to simultaneously minimize resource usage as well as optimize performance metrics such as latency and reliability. This article explores the energy-latency-reliability tradeoff for broadcast in WSNs by presenting a new protocol called PBBF. Essentially, for a given reliability level, energy and latency are found to be inversely related and our study quantifies this relationship at the reliability boundary. Therefore, PBBF offers an application designer considerable flexibility in the choice of desired operation points. Furthermore, we propose an extension to dynamically adjust the PBBF parameters to minimize the input required from the designer.
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https://hal.inria.fr/inria-00333703
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Cigdem Sengul, Matthew Miller, Indranil Gupta. Adaptive Probability-Based Broadcast Forwarding in Energy-Saving Sensor Networks. ACM Transactions on Sensor Networks, Association for Computing Machinery, 2008. ⟨inria-00333703⟩

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