Title :
Load-balanced routing scheme for TinyOS-based wireless sensor networks
Author_Institution :
Sch. of Inf. Technol., Murdoch Univ., Perth, WA, Australia
fDate :
Aug. 28 2010-Sept. 3 2010
Abstract :
The main contribution of this paper is the design and test of a simple, reliable, and energy efficient routing scheme for sensor networks that successfully meets the goal of network longevity, and that demonstrates satisfactory robustness and network lifetime. The proposed routing algorithm allows a child sensor node dynamically searches for a new reliable parent node with more residual energy and takes in account the tradeoffs between latency and energy. This dynamic adaptation strategy can alleviate the energy hole problem. Although the use of Channel State Information (CSI) form broadcast beacons is crucial to link estimation, MultihopLQI´s reliance on one form of CSI, i.e., LQI metric, is the main reason behind its inferior performance. Maximising the network lifetime is the subject of ongoing work by extending the experiments to scalable simulations on larger networks.
Keywords :
operating systems (computers); resource allocation; telecommunication computing; telecommunication network routing; wireless sensor networks; MultihopLQI; TinyOS; broadcast beacons; channel state information; dynamic adaptation strategy; energy efficient routing scheme; energy hole problem; link estimation; load-balanced routing scheme; network lifetime; network longevity; wireless sensor networks; Base stations; Delay; Energy efficiency; Reliability; Routing; Wireless sensor networks;
Conference_Titel :
Wireless Information Technology and Systems (ICWITS), 2010 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-7091-4
DOI :
10.1109/ICWITS.2010.5611875