DocumentCode :
686260
Title :
Dynamic Adjustment of Transmission Power of Mobile Ad-Hoc Wireless Sensor Networks
Author :
Hoeller, Arliones ; Oliveira, P. ; Frohlich, Antonio Augusto
Author_Institution :
Software/Hardware Integration Lab., Fed. Univ. of Santa Catarina - Florianopolis, Florianopolis, Brazil
fYear :
2013
fDate :
4-8 Dec. 2013
Firstpage :
167
Lastpage :
168
Abstract :
A Wireless Sensor Network (WSN) is composed by many tiny embedded systems with sensing, processing and communication capabilities. These sensors use limited power sources, such as batteries, making energy a key resource that needs management. One of the main contributors to energy consumption in WSN nodes is data transmission through a radio device, and the parameter that most influences energy consumption in radio devices is the transmission power. In this work, we explore the Ant-Colony Optimization (ACO) mechanism of the Ant-based Dynamic Hop Optimization Protocol (ADHOP) routing algorithm to minimize transmission power of the links in a route without compromising connectivity. The proposed mechanism is evaluated through simulation using the OMNeT++ simulator with the INETMANET framework for mobile IEEE 802.15.4 networks. The results confirm the initial assumption that it is possible to lower energy consumption with little impact on data delivery rate.
Keywords :
Zigbee; ant colony optimisation; data communication; energy conservation; energy consumption; mobile ad hoc networks; protocols; radio equipment; telecommunication control; telecommunication network routing; telecommunication power management; wireless sensor networks; ACO mechanism; ADHOP routing algorithm; INETMANET; OMNeT++ simulator; WSN nodes; ant-based dynamic hop optimization protocol; ant-colony optimization; communication capabilities; data delivery rate; data transmission; dynamic adjustment; embedded systems; energy consumption; mobile IEEE 802.15.4 networks; mobile ad hoc wireless sensor networks; power sources; processing capabilities; radio device; sensing capabilities; transmission power; Ad hoc networks; Energy consumption; Heuristic algorithms; Mobile communication; Mobile computing; Routing; Wireless sensor networks; ADHOP; Internet of Things; Transmission Power Control; Wireless Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Systems Engineering (SBESC), 2013 III Brazilian Symposium on
Conference_Location :
Niteroi
Type :
conf
DOI :
10.1109/SBESC.2013.41
Filename :
6825363
Link To Document :
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