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Optimizing physical-layer parameters for wireless sensor networks

Published: 04 February 2011 Publication History

Abstract

As wireless sensor networks utilize battery-operated nodes, energy efficiency is of paramount importance at all levels of system design. In order to save energy in the transfer of data from the sensor nodes to one or more sinks, the data may be routed through other nodes rather than transmitting it directly to the sink(s). In this article, we investigate the problem of energy-efficient transmission of data over a noisy channel, focusing on the setting of physical-layer parameters. We derive a metric called the energy per successfully received bit, which specifies the expected energy required to transmit a bit successfully over a particular distance given a channel noise model. By minimizing this metric, we can find, for different modulation schemes, the energy-optimal relay distance and the optimal transmit energy as a function of channel noise level and path loss exponent. These results enable network designers to select the hop distance, transmit power, and/or modulation scheme that maximize network lifetime.

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      Published In

      cover image ACM Transactions on Sensor Networks
      ACM Transactions on Sensor Networks  Volume 7, Issue 4
      February 2011
      252 pages
      ISSN:1550-4859
      EISSN:1550-4867
      DOI:10.1145/1921621
      Issue’s Table of Contents
      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: 04 February 2011
      Accepted: 01 June 2010
      Revised: 01 April 2009
      Received: 01 August 2007
      Published in TOSN Volume 7, Issue 4

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      Author Tags

      1. Energy and resource management
      2. modeling of systems and physical environments
      3. physical-layer network protocols

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      Cited By

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      • (2023)Protocol Stack of WSNsConcepts, Applications, Experimentation and Analysis of Wireless Sensor Networks10.1007/978-3-031-20709-9_2(53-66)Online publication date: 14-Feb-2023
      • (2022)Joint Transmit and Receive Antenna Selection Scheme for MIMO Vehicular Adhoc Networks2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)10.1109/ICRITO56286.2022.9964965(1-4)Online publication date: 13-Oct-2022
      • (2021)A Prim–Dijkstra Algorithm for Multihop Calibration of Networked Embedded SystemsIEEE Internet of Things Journal10.1109/JIOT.2021.30512708:14(11320-11328)Online publication date: 15-Jul-2021
      • (2021)Energy-balanced distribution of radio modules with various technical states among positions of nodes in wireless sensor networksAEU - International Journal of Electronics and Communications10.1016/j.aeue.2021.153849138(153849)Online publication date: Aug-2021
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      • (2020)Enhance the Lifespan of Underwater Sensor Network Through Energy Efficient Hybrid Data Communication Scheme2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC)10.1109/PARC49193.2020.236625(355-359)Online publication date: Feb-2020
      • (2020)A node to node security for sensor nodes implanted in cross cover multi-layer architecture using Mc-Nie algorithmEvolutionary Intelligence10.1007/s12065-020-00478-6Online publication date: 5-Sep-2020
      • (2020)Cross-Layer Protocols for WSNsConcepts, Applications, Experimentation and Analysis of Wireless Sensor Networks10.1007/978-3-030-58015-5_5(267-335)Online publication date: 25-Nov-2020
      • (2020)Protocol Stack of WSNsConcepts, Applications, Experimentation and Analysis of Wireless Sensor Networks10.1007/978-3-030-58015-5_2(53-66)Online publication date: 25-Nov-2020
      • Show More Cited By

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