重庆邮电大学学报(自然科学版)2007,Vol.19Issue(3):270-275,6.
Efficient and power-awareness query over sensor networks
Efficient and power-awareness query over sensor networks
摘要
Abstract
Sensor networks consisted of low-cost, low-power, multifunctional miniature sensor devices have played an important role in our daily life. Light and humidity monitoring, seismic and animal activity detection, environment and habitat monitoring are the most common applications. However, due to the limited power supply, ordinary query methods and algorithms can not be applied on sensor networks. Queries over sensor networks should be power-aware to guarantee the maximum power savings. The minimal power consumption by avoiding the expensive communication of the redundant sensor nodes is concentrated on. A lot of work have been done to reduce the participated nodes, but none of them have considered the overlapping minimum bounded rectangle (MBR) of sensors which make them impossible to reach the optimization solution. The proposed OMSI-tree and OMR algorithm can efficiently solve this problem by executing a given query only on the sensors involved. Experiments show that there is an obvious improvement compared with TinyDB and other spatial index, adopting the proposed schema and algorithm.关键词
sensor networks/query/power-sensitive/MBRKey words
sensor networks/query/power-sensitive/MBR分类
信息技术与安全科学引用本文复制引用
ZHA Wei,Sang-Hun Eo,Ho-Seok Kim,Sook-Kyoung Cho,Hae-Young Bae..Efficient and power-awareness query over sensor networks[J].重庆邮电大学学报(自然科学版),2007,19(3):270-275,6.基金项目
This work is supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessment). (Ministry of Information and Communication)