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

Files in This Item:
File Description SizeFormat 
P264-Ruzzelli,Cotan,O'Hare,Tynan,Havinga-06.pdf210.07 kBAdobe PDFDownload
Title: Protocol assessment issues in low duty cycle sensor networks : the switching energy
Authors: Ruzzelli, Antonio G.
Cotan
Cotan, P.
O'Hare, G. M. P. (Greg M. P.)
Tynan, Richard
Havinga, P. J. M.
Permanent link: http://hdl.handle.net/10197/4532
Date: 5-Oct-2006
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: MACAccess controlDuty cycleEnergy-efficientProtocol assessmentSensor networksSwitching energyWireless
DOI: 10.1109/SUTC.2006.1636169
Language: en
Status of Item: Peer reviewed
Is part of: IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, 2006. (Volume:1 )
Conference Details: IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC 2006), Taichung, Taiwan, October, 2006
Appears in Collections:Computer Science Research Collection

Show full item record

SCOPUSTM   
Citations 20

16
Last Week
0
Last month
checked on Oct 11, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.