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Vol. 18, Special Issue, January 2013, pp. 166-176


Selected papers from the 3rd International Conference on Sensor Device Technologies and Applications (SENSORDEVICES' 2012)
and The 6th International Conference on Sensor Technologies and Applications (SENSORCOMM' 2012),

19 - 24 August 2012, Rome, Italy




Power Saving Algorithm for Monitoring Extreme Values in Sensor Networks

1 Pei-Hsuan Tsai, 3 Hsiao-Chuan Liang,  2 Chun-Lung Lin, 3 Jau-Wu Huang, 3 Jia-Shung Wang

1 Institute of Manufacturing Information and Systems National Cheng Kung University Tainan, Taiwan R.O.C.

2 Industrial Technology Research Institute Hsinchu, Taiwan R.O.C.

3 Department of Computer Science National Tsing Hua University Hsinchu, Taiwan R.O.C.

E-mail: phtsai@mail.ncku.edu.tw, super9402@gmail.com, chunlung@itri.org.tw, jwhuang@vc.cs.nthu.edu.tw, jswang@cs.nthu.edu.tw



Received: 15 November 2012   /Accepted: 14 December 2012   /Published: 22 January 2013

Digital Sensors and Sensor Sysstems


Abstract: Monitoring extreme values (maximum or minimum) is important to many applications in wireless sensor networks. A previous work, called Hierarchy Adaptive Threshold (HAT), proposed a tree-based structure to distribute queries efficiently and filter out the unnecessary data updates that are not extreme values. In this paper, a data reduction algorithm is presented to reduce energy consumption of the HAT due to network transmission. The proposed method utilizes historical information of extreme values and their corresponding node ID to adjust the reporting rate of sensors properly and eases the burden of the parent of extreme nodes by balancing the packets from extreme nodes to all their possible parents. We evaluate the performance of the proposed algorithm by NS-2 network simulator and real-world data traces. The results indicate that the overall network packets are reduced to 80% with 1% data error in comparison with HAT.


Keywords: Sensor networks, Extreme values, Data reduction, Power saving


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