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Energy-conserving data placement and asynchronous multicast in wireless sensor networks

Published: 05 May 2003 Publication History

Abstract

In recent years, large distributed sensor networks have emerged as a new fast-growing application domain for wireless computing. In this paper, we present a distributed application-layer service for data placement and asynchronous multicast whose purpose is power conservation. Since the dominant traffic in a sensor network is that of data retrieval, (i) caching mutable data at locations that minimize the sum of request and update traffic, and (ii) asynchronously multicasting updates from sensors to observers can significantly reduce the total number of packet transmissions in the network. Our simulation results show that our service subsequently reduces network energy consumption while maintaining the desired data consistency semantics.

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cover image ACM Conferences
MobiSys '03: Proceedings of the 1st international conference on Mobile systems, applications and services
May 2003
180 pages
ISBN:9781450377973
DOI:10.1145/1066116
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 05 May 2003

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MobiSys '03 Paper Acceptance Rate 23 of 153 submissions, 15%;
Overall Acceptance Rate 274 of 1,679 submissions, 16%

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  • (2021)Energy and Distance Optimization in Rechargeable Wireless Sensor NetworksIEEE Transactions on Green Communications and Networking10.1109/TGCN.2020.30393385:1(378-391)Online publication date: Mar-2021
  • (2018)Wireless Charger Placement and Power Allocation for Maximizing Charging QualityIEEE Transactions on Mobile Computing10.1109/TMC.2017.277142517:6(1483-1496)Online publication date: 1-Jun-2018
  • (2017)Energy-Efficient Mobile Charging for Wireless Power Transfer in Internet of Things NetworksIEEE Internet of Things Journal10.1109/JIOT.2017.2772318(1-1)Online publication date: 2017
  • (2016)Collaborative Mobile ChargingWireless Power Transfer Algorithms, Technologies and Applications in Ad Hoc Communication Networks10.1007/978-3-319-46810-5_19(505-531)Online publication date: 20-Nov-2016
  • (2015)Collaborative Mobile ChargingIEEE Transactions on Computers10.1109/TC.2013.229792664:3(654-667)Online publication date: 1-Mar-2015
  • (2015)A hybrid service discovery approach to mitigate overhead concentration on resource directory2015 International Conference on Information Networking (ICOIN)10.1109/ICOIN.2015.7057928(407-409)Online publication date: Jan-2015
  • (2014)Access-Centric In-Network Storage Optimization in Distributed Sensing NetworksHuman Behavior Understanding in Networked Sensing10.1007/978-3-319-10807-0_2(19-44)Online publication date: 7-Nov-2014
  • (2013)Overlay Multicast Protocol with Proxy Districts for Dynamic Wireless Sensor Networks2013 IEEE 12th International Symposium on Network Computing and Applications10.1109/NCA.2013.44(187-194)Online publication date: Aug-2013
  • (2013)Video based adaptive road traffic signaling2013 Seventh International Conference on Distributed Smart Cameras (ICDSC)10.1109/ICDSC.2013.6778234(1-6)Online publication date: Oct-2013
  • (2012)An efficient renewable energy management and sharing system for sustainable embedded devicesJournal of Electrical and Computer Engineering10.5555/2215507.22155122012(5-5)Online publication date: 1-Jan-2012
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