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Simulation of power-aware wireless sensor network architectures

Published: 02 October 2006 Publication History

Abstract

Power consumption is recognized to be one of the key design parameters towards the deployment of effective and fully operational wireless sensor networks. Many studies and efforts are currently under way for developing better power management strategies. Towards this end, various simulation tools are being developed for enabling the analysis of the impact of various system parameters over the energy required by the various system elements of a wireless sensor network. In this paper, we focus on the simulation of power consumption management based on the principles of cross-layer protocol engineering. We start by reviewing the most relevant work on the area of simulators of wireless sensor networks focusing mainly on those tools offering capabilities for evaluating the power consumption. Thereafter, based on the principles of cross-layer protocol engineering, we study the interaction between the various layers by focusing on the study of power-aware network architectures. Throughout an exhaustive campaign of simulations, we compare various protocol architecture configurations in terms of their power saving capabilities

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  • (2023)Data Acquisition Control for UAV-Enabled Wireless Rechargeable Sensor NetworksSensors10.3390/s2307358223:7(3582)Online publication date: 29-Mar-2023
  • (2022)Adaptive Data Collection Using UAV With Wireless Power Transfer for Wireless Rechargeable Sensor NetworksIEEE Access10.1109/ACCESS.2022.314484610(9729-9743)Online publication date: 2022
  • (2018)Energy-Aware Control of Data Compression and Sensing Rate for Wireless Rechargeable Sensor NetworksSensors10.3390/s1808260918:8(2609)Online publication date: 9-Aug-2018
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        cover image ACM Conferences
        PM2HW2N '06: Proceedings of the ACM international workshop on Performance monitoring, measurement, and evaluation of heterogeneous wireless and wired networks
        October 2006
        114 pages
        ISBN:1595935029
        DOI:10.1145/1163653
        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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        Publication History

        Published: 02 October 2006

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        Author Tags

        1. Avrora
        2. power-save
        3. simulation
        4. wireless sensor network

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        PM2HW2N '06 Paper Acceptance Rate 16 of 30 submissions, 53%;
        Overall Acceptance Rate 74 of 226 submissions, 33%

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        Cited By

        View all
        • (2023)Data Acquisition Control for UAV-Enabled Wireless Rechargeable Sensor NetworksSensors10.3390/s2307358223:7(3582)Online publication date: 29-Mar-2023
        • (2022)Adaptive Data Collection Using UAV With Wireless Power Transfer for Wireless Rechargeable Sensor NetworksIEEE Access10.1109/ACCESS.2022.314484610(9729-9743)Online publication date: 2022
        • (2018)Energy-Aware Control of Data Compression and Sensing Rate for Wireless Rechargeable Sensor NetworksSensors10.3390/s1808260918:8(2609)Online publication date: 9-Aug-2018
        • (2011)SWARM-eTOSSIMProceedings of the 2011 Tenth International Symposium on Autonomous Decentralized Systems10.1109/ISADS.2011.9(17-24)Online publication date: 23-Mar-2011
        • (2010)A distributed Wireless Sensor Network testbed with energy consumption estimationInternational Journal of Ad Hoc and Ubiquitous Computing10.1504/IJAHUC.2010.0343216:2(63-74)Online publication date: 1-Jul-2010

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