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Title:Smart Gossip: Infusing Adaptivity into Gossiping Protocols for Sensor Networks
Author(s):Kyasanur, Pradeep N.; Choudhury, Romit Roy; Gupta, Indranil
Subject(s):sensor networks
Abstract:Probabilistic techniques have been used to address many challenges in sensor networks. However, little work exists on developing adaptive versions of probabilistic protocols. In this paper, we consider the class of probabilistic gossiping protocols that are useful for disseminating information. Information dissemination is often required in sensor networks for code updates, TAG-type queries, etc. We propose adaptive techniques that enable a gossip-based protocol to automatically and dynamically adapt itself to the network topology. Our techniques are capable of coping with wireless losses and unpredictable node failures that affect network connectivity over time. The adaptive techniques also allow the sensor network applications to specify a desired reliability for disseminating messages. Nodes automatically adapt their behavior to satisfy such requirements. The resulting protocol is completely decentralized. We present thorough experimental results to evaluate our ``Smart Gossip'' proposal, and demonstrate its benefits over existing gossip protocols.
Issue Date:2006-04
Genre:Technical Report
Other Identifier(s):UIUCDCS-R-2006-2705
Rights Information:You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
Date Available in IDEALS:2009-04-21

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