Yuan Xiao-Guang, Yang Wan-Hai, Shi Lin. Decision Fusion Under a Dynamic Large-scale Wireless Sensor Network[J]. Journal of Electronics & Information Technology, 2010, 32(12): 2976-2980. doi: 10.3724/SP.J.1146.2009.01656
Citation:
Yuan Xiao-Guang, Yang Wan-Hai, Shi Lin. Decision Fusion Under a Dynamic Large-scale Wireless Sensor Network[J]. Journal of Electronics & Information Technology, 2010, 32(12): 2976-2980. doi: 10.3724/SP.J.1146.2009.01656
Yuan Xiao-Guang, Yang Wan-Hai, Shi Lin. Decision Fusion Under a Dynamic Large-scale Wireless Sensor Network[J]. Journal of Electronics & Information Technology, 2010, 32(12): 2976-2980. doi: 10.3724/SP.J.1146.2009.01656
Citation:
Yuan Xiao-Guang, Yang Wan-Hai, Shi Lin. Decision Fusion Under a Dynamic Large-scale Wireless Sensor Network[J]. Journal of Electronics & Information Technology, 2010, 32(12): 2976-2980. doi: 10.3724/SP.J.1146.2009.01656
In order to solve the decision fusion issue under a dynamic large-scale Wireless Sensor Network (WSN), a voting decision fusion rule is proposed. It is assumed that the fading of channels submits a Rayleigh distribution and the number of sensors follows a Poisson distribution in the WSN. The analysis and simulation on detection performance of the fusion rule are made for different system parameters. It is shown that this fusion rule can achieve a good system-level detection performance even at low Signal-to-Noise Ratio (SNR), as long as the average number of sensors is sufficiently large, and this fusion rule can also provide better system-level detection performance than the existing nonparametric fusion rules. Moreover, a method to obtain the optimal receiving threshold of sensor output is given, by using the deflection coefficient of decision fusion system.
Chamberland J and Veeravaili V V. Decentralized detection in sensor networks [J].IEEE Transactions on Signal Processing.2003, 51(2):407-416[2]Niu R, Chen B, and Varshney P K. Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks [J].IEEE Transactions on Signal Processing.2006, 54(3):1018-1027[3]Jiang R and Chen B. Fusion of censored decisions in wireless sensor networks [J].IEEE Transactions on Wireless Communications.2005, 4(6):2668-2673[4]刘向阳,彭应宁. 基于删除的混合融合准则[J].电子与信息学报.2008, 30(1):159-162浏览Liu Xiang-yang and Peng Ying-ning. Censoring based mixed fusion rule [J]. Journal of Electronics and Information Technology, 2008, 30(1): 159-162.[5]Appadwedula S, Veeravalli V V, and Jones D L. Decentralized detection with censoring sensors [J].IEEE Transactions on Signal Processing.2008, 56(4):1362-1373[6]Wang Ying.[J].Xiong Mudi, and Yue Dian-wu, et al.. Decision fusion rules over Rican fading channel for wireless sensor networks[C]. WiCOM09, Chengdu.2009,:-[7]Niu R, Varshney P K, and Cheng Q. Distributed detection in a large wireless sensor network [J].International Journal on Information Fusion.2006, 7(12):380-394[8]Priyadip R and Varshney P K. VarshneyDistributed detection in wireless sensor networks using dynamic sensor thresholds [J].. International Journal of Distributed Sensor Networks.2008, 4(1):5-12[9]Niu R, Varshney P K. Performance analysis of distributed detection in a random sensor field [J].IEEE Transactions on Signal Processing.2008, 56(1):339-349[10]Chair Z and Varshney P K. Optimal data fusion in multiple sensor detection systems [J].IEEE Transactions on Aerospace Electronic System.1986, 22(1):98-101[11]Papoulis A. Probability, Random Variables, and Stochastic Processes [M]. New York: McGraw-Hill, 1991: 49-53.[12]Picinbono B. On deflection as a performance criterion in detection [J].IEEE Transactions on Aerospace Electronic System.1995, 31(3):1072-1081