Title :
Energy Efficiency in the Cluster-Based Linear Ad-hoc Wireless Networks
Author :
Feng, Wei ; Elmirghani, Jaafar M H
Author_Institution :
Sch. of Electron. & Electr. Eng., Univ. of Leeds, Leeds, UK
Abstract :
Nodes in energy-efficient ad-hoc wireless networks can benefit more of new ad-hoc services, as well as, can support better new emerging ad-hoc applications. In this paper we introduced a method that can be used to select the optimum location of relay nodes, and derived the range of relay node location that results in energy saving. The optimal node transmission range is derived in terms of the propagation loss factor; The energy consumption of a multihop ad-hoc wireless network has been computed based on both optimal transmission range and has also been computed under direct transmission where the source and destination communicate directly. Multihop with optimal transmission range saves 90.1% energy compared to the direct transmission. The trade-off between energy consumption and delay time has been analyzed to achieve the combination performance of both energy consumption and delay time, and the result shows with modest increase in delay (13%), the trade-off scheme saves energy by 89.2% compared to the direct transmission. With dynamic traffic scenario, we proposed cluster based energy consumption models with taking into account of both equal hop and adjustable hop manners, where the adjustable-range model is computed based on genetic algorithm. The results show that the adjustable-range (GA) model is more energy efficient than equal-range model.
Keywords :
ad hoc networks; genetic algorithms; telecommunication traffic; cluster-based linear ad-hoc wireless network; dynamic traffic scenario; energy consumption; energy saving; energy-efficient ad-hoc wireless network; genetic algorithm; relay node location; Computer networks; Delay effects; Energy consumption; Energy efficiency; Performance analysis; Propagation losses; Relays; Spread spectrum communication; Traffic control; Wireless networks; ad-hoc network; energy efficiency; genetic algorithms; optimal transmission range;
Conference_Titel :
Next Generation Mobile Applications, Services and Technologies, 2009. NGMAST '09. Third International Conference on
Conference_Location :
Cardiff, Wales
Print_ISBN :
978-0-7695-3786-3
DOI :
10.1109/NGMAST.2009.50