Distributed Decision Fusion Rule using M-ary Source Coding Scheme in Wireless Sensor Network
碩士 === 國立暨南國際大學 === 資訊工程學系 === 100 === The wireless sensor network(WSN) structured by the battery-powered sensor has been widely used in detecting a variety of environments. The sensor consumes energy while transmitting signals and hence the life of battery directly limits the working hours of the...
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| Format: | Others |
| Language: | zh-TW |
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2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/51480226998028682411 |
| Summary: | 碩士 === 國立暨南國際大學 === 資訊工程學系 === 100 === The wireless sensor network(WSN) structured by the battery-powered sensor has been widely used in detecting a variety of environments. The sensor consumes energy while transmitting signals and hence the life of battery directly limits the working hours of the sensor. Therefore, reducing the power consumption of wireless transmission is an issue worth exploring. This study focuses on the design of energy-efficient algorithm to reduce energy consumption while the goal of better error performance is also achieved.
In the conventional WSN systems, 1 bit is used to record the observation of the environment. In this thesis, we use M-ary source coding scheme to divide and to encode the observation to expand the binary algorithm to an M-ary algorithm. Soft-decision and hard-decision rules are both adopted at the fusion center. The results show that lower error rates and energy consumption are achieved via the proposed M-ary source coding scheme.
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