Title: The portable distributed fusion algorithm between loss and lossless systems

Authors: Xiangli Liu; Xiangyang Liu; Zan Li; Binzhe Wang

Addresses: State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China ' Department of information transmission, Xi'an Communications Institute, Xi'an 710106, China ' State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China ' State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China

Abstract: Mostly the estimation fusion algorithms are designed for the single occasion according to the fusion performance compared with the centralised fusion, such as loss or lossless systems. They rarely considered the portability between both systems. Taking into consideration the matrix's sparse feature, we propose one portable data transmission strategy. Our proposed algorithm has two advantages, one is that it can be converted between loss system and lossless one easily; the other is that it can reduce the communication requirements further. Simulation results have verified the fusion performance of our proposed method for the loss and lossless occasions. Through the analysis of the saved communication requirements we also show using our algorithm the power at the sensor can be reduced compared with other algorithms.

Keywords: distributed fusion; estimation fusion; portability; lossless systems; loss systems; sparse matrix; portable data transmission; energy efficiency; power reduction; simulation; information fusion; wireless sensor networks; WSNs; network lifetime; target tracking; event detection; decision making.

DOI: 10.1504/IJSNET.2014.065781

International Journal of Sensor Networks, 2014 Vol.16 No.1, pp.16 - 22

Received: 24 Jan 2014
Accepted: 03 Mar 2014
Published online: 19 Nov 2014 *

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