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ADB: an efficient multihop broadcast protocol based on asynchronous duty-cycling in wireless sensor networks

Published:04 November 2009Publication History

ABSTRACT

The use of asynchronous duty-cycling in wireless sensor network MAC protocols is common, since it can greatly reduce energy consumption and requires no clock synchronization. However, existing systems using asynchronous duty-cycling do not efficiently support broadcast-based communication that may be used, for example, in route discovery or in network-wide queries or information dissemination. In this paper, we present the design and evaluation of ADB (Asynchronous Duty-cycle Broadcasting), a new protocol for efficient multihop broadcast in wireless sensor networks using asynchronous duty-cycling. ADB differs from traditional multihop broadcast protocols that operate above the MAC layer, in that it is integrated with the MAC layer to exploit information only available at this layer. Rather than treating the data transmission from a node to all of its neighbors as the basic unit of progress for the multihop broadcast, ADB dynamically optimizes the broadcast at the level of transmission to each individual neighbor of a node, as the neighbors asynchronously wakeup. We evaluate ADB both through ns-2 simulations and through measurements in a testbed of MICAz motes using TinyOS, and compare its performance to multihop broadcast based on X-MAC and on RI-MAC. In both evaluations, ADB substantially reduced energy consumption, network load, and delivery latency compared to other protocols, while achieving over 99% delivery ratio.

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        cover image ACM Conferences
        SenSys '09: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
        November 2009
        438 pages
        ISBN:9781605585192
        DOI:10.1145/1644038

        Copyright © 2009 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 4 November 2009

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        Overall Acceptance Rate174of867submissions,20%

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