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Performance evaluation of MAC protocols for cooperative MIMO transmissions in sensor networks

Published: 27 October 2008 Publication History

Abstract

Cooperative Multiple-Input Multiple-Output (MIMO) schemes can reduce both transmission energy and latency in distributed wireless sensor networks (WSNs). In this paper we develop a new cooperative low power listening (LPL) Medium Access Control (MAC) protocol for two cooperative MIMO schemes: optimal Beamforming (BF) and Spatial Multiplexing (SM). We develop analytical models for the total energy consumption and retransmission rates for both schemes and analyse the proposed MAC protocol in term of total energy consumption. The impact of the check interval and the number of cooperative transmitting nodes, M and cooperative receiving nodes N on the total energy consumption are investigated. We show that the new cooperative MAC with the optimal Beamforming scheme outperforms the other cooperative and SISO schemes in term of total energy consumption with the number of cooperating nodes set to M=2.

References

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Cited By

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  • (2014)Statistical Analysis of Array Gain for Cooperative MISO Transmitters without CSIIEEE Transactions on Wireless Communications10.1109/TWC.2014.011714.12174513:3(1250-1263)Online publication date: Mar-2014
  • (2013)An Energy Saving Throughput-Optimal MAC Protocol for Cooperative MIMO TransmissionsIEEE Transactions on Communications10.1109/TCOMM.2013.102313.12041161:12(4899-4909)Online publication date: Dec-2013
  • (2013)Reliability Extensions and Multi-hop Evaluation of Distributed Protocol StacksProceedings of the 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing10.1109/GreenCom-iThings-CPSCom.2013.161(931-938)Online publication date: 20-Aug-2013
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      cover image ACM Conferences
      PE-WASUN '08: Proceedings of the 5th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
      October 2008
      110 pages
      ISBN:9781605582368
      DOI:10.1145/1454609
      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: 27 October 2008

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      Author Tags

      1. cooperative mimo transmissions
      2. energy consumption
      3. low power listening
      4. mac protocols
      5. wireless sensor networks

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      PE-WASUN '08 Paper Acceptance Rate 16 of 42 submissions, 38%;
      Overall Acceptance Rate 70 of 240 submissions, 29%

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      View all
      • (2014)Statistical Analysis of Array Gain for Cooperative MISO Transmitters without CSIIEEE Transactions on Wireless Communications10.1109/TWC.2014.011714.12174513:3(1250-1263)Online publication date: Mar-2014
      • (2013)An Energy Saving Throughput-Optimal MAC Protocol for Cooperative MIMO TransmissionsIEEE Transactions on Communications10.1109/TCOMM.2013.102313.12041161:12(4899-4909)Online publication date: Dec-2013
      • (2013)Reliability Extensions and Multi-hop Evaluation of Distributed Protocol StacksProceedings of the 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing10.1109/GreenCom-iThings-CPSCom.2013.161(931-938)Online publication date: 20-Aug-2013
      • (2012)Towards Distributed Protocol Stacks for Wireless Sensor NetworksProceedings of the 2012 IEEE International Conference on Green Computing and Communications10.1109/GreenCom.2012.148(418-425)Online publication date: 20-Nov-2012
      • (2010)Resource optimization algorithm for sparse time-driven sensor networksProceedings of the 9th IFIP TC 6 international conference on Networking10.1007/978-3-642-12963-6_22(277-290)Online publication date: 11-May-2010
      • (2009)Simulated annealing approach to optimizing the lifetime of sparse time-driven sensor networks2009 IEEE International Symposium on Modeling, Analysis & Simulation of Computer and Telecommunication Systems10.1109/MASCOT.2009.5366170(1-10)Online publication date: Sep-2009

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