DocumentCode :
3452144
Title :
Energy efficient head node selection algorithm in wireless sensor networks
Author :
Chen, Wanming ; Meng, Max Q -H ; Li, Shuai ; Mei, Tao ; Liang, Huawei ; Li, Yangming
Author_Institution :
Inst. of Intell. Machines, Chinese Acad. of Sci., Hefei
fYear :
2007
fDate :
15-18 Dec. 2007
Firstpage :
1366
Lastpage :
1371
Abstract :
Energy problem is a key issue for the wireless sensor network with limited batteries. It´s a good idea to select a head node for data aggregation to save the energy of data transmitting. However, many algorithms don´t consider the whole integrated network situation for head node selection. We proposed an energy efficient head node selection method for data aggregation. In this algorithm, three aspects were taken into consideration, which were the candidate head node´s single residual energy, the total energy spent in the network if this candidate head node is chosen, and the quality of balance of the residual nodes´ energy. To adapt the actual sensor nodes with limited memory and computing capacity, a simplified model is also introduced. Simulation results show that this new head node selection algorithm can achieve balanced energy consumption and prolong the life time of the network highly.
Keywords :
wireless sensor networks; balanced energy consumption; data aggregation; data transmission; energy efficient head node selection algorithm; energy saving; head node selection; integrated network situation; residual energy; wireless sensor networks; Batteries; Biomimetics; Clustering algorithms; Energy efficiency; Intelligent networks; Magnetic heads; Relays; Robot sensing systems; Robotics and automation; Wireless sensor networks; Wireless sensor networks; data aggregation; head node selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics, 2007. ROBIO 2007. IEEE International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-1761-2
Electronic_ISBN :
978-1-4244-1758-2
Type :
conf
DOI :
10.1109/ROBIO.2007.4522363
Filename :
4522363
Link To Document :
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