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  5. Protocol assessment issues in low duty cycle sensor networks : the switching energy
 
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Protocol assessment issues in low duty cycle sensor networks : the switching energy

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Download P264-Ruzzelli,Cotan,O'Hare,Tynan,Havinga-06.pdf210.07 KB
Author(s)
Ruzzelli, Antonio G. 
Cotan 
Cotan, P. 
O'Hare, G. M. P. (Greg M. P.) 
Tynan, Richard 
Havinga, P. J. M. 
Uri
http://hdl.handle.net/10197/4532
Date Issued
05 October 2006
Date Available
14T13:08:10Z August 2013
Abstract
Energy assessment of MAC protocols for wireless sensor networks is generally based on the times of transmit, receive and sleep modes. The switching energy between two consecutive states is generally considered negligible with respect to them. Although such an assumption is valid for traditional wireless ad hoc networks, is this assumption valid also for low duty cycle wireless sensor networks? The primary objective of this work is to shed some light on relationships between node switching energy and node duty cycle over the total energy consumption. In order to achieve the target, initially, we revisit the energy spent in each state and transitions of three widespread hardware platforms for wireless sensor networks by direct measurements on the EYES node. Successively, we apply the values obtained to the SMAC protocol by using the OmNet++ simulator. The main reason for using SMAC is that it is the protocol normally used as a benchmark against other architectures proposed.
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2006, IEEE
Keywords
  • MAC

  • Access control

  • Duty cycle

  • Energy-efficient

  • Protocol assessment

  • Sensor networks

  • Switching energy

  • Wireless

DOI
10.1109/SUTC.2006.1636169
Language
English
Status of Item
Peer reviewed
Part of
IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, 2006. (Volume:1 )
Description
IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC 2006), Taichung, Taiwan, October, 2006
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
Scopus© citations
26
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Mar 22, 2023
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