caa a22 4500 605470383 CHVBK 20210128100327.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s00500-014-1352-3 doi (NATIONALLICENCE)springer-10.1007/s00500-014-1352-3 An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks [Elektronische Daten] [Yanling Jin, Yongsheng Ding, Kuangrong Hao, Yaochu Jin] In this paper, a novel endocrine-based intelligent distributed cooperative algorithm (EIDCA) for target tracking is proposed inspired by the regulating mechanisms of the human hormone systems. The EIDCA enables the nodes in the wireless sensor networks to self-organize themselves autonomously without a centralized control for target detection. A probability-based scheme for hormone transmission is also introduced to alleviate fluctuations of the network caused by frequent switches of the nodes. Meanwhile, a numerical evaluation method is designed to provide a quantitative metric for comparing the tracking performance of different algorithms. Simulation results show that the decentralized network controlled by the EIDCA can work efficiently and reliably without central control. It is also shown that the proposed EIDCA outperforms the compared algorithms in tracking targets. Springer-Verlag Berlin Heidelberg, 2014 Distributed cooperative algorithm nationallicence Wireless sensor networks nationallicence Artificial endocrine system nationallicence Hormone nationallicence Target tracking nationallicence Jin Yanling College of Information Sciences and Technology, Donghua University (Former: China Textile University), 2999 North Renmin Road, Songjiang District, 201620, Shanghai, People's Republic of China aut Ding Yongsheng College of Information Sciences and Technology, Donghua University (Former: China Textile University), 2999 North Renmin Road, Songjiang District, 201620, Shanghai, People's Republic of China aut Hao Kuangrong College of Information Sciences and Technology, Donghua University (Former: China Textile University), 2999 North Renmin Road, Songjiang District, 201620, Shanghai, People's Republic of China aut Jin Yaochu College of Information Sciences and Technology, Donghua University (Former: China Textile University), 2999 North Renmin Road, Songjiang District, 201620, Shanghai, People's Republic of China aut Soft Computing Springer Berlin Heidelberg 19/5(2015-05-01), 1427-1441 1432-7643 19:5<1427 2015 19 500 https://doi.org/10.1007/s00500-014-1352-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1352-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jin Yanling College of Information Sciences and Technology, Donghua University (Former: China Textile University), 2999 North Renmin Road, Songjiang District, 201620, Shanghai, People's Republic of China aut NATIONALLICENCE 700 1- Ding Yongsheng College of Information Sciences and Technology, Donghua University (Former: China Textile University), 2999 North Renmin Road, Songjiang District, 201620, Shanghai, People's Republic of China aut NATIONALLICENCE 700 1- Hao Kuangrong College of Information Sciences and Technology, Donghua University (Former: China Textile University), 2999 North Renmin Road, Songjiang District, 201620, Shanghai, People's Republic of China aut NATIONALLICENCE 700 1- Jin Yaochu College of Information Sciences and Technology, Donghua University (Former: China Textile University), 2999 North Renmin Road, Songjiang District, 201620, Shanghai, People's Republic of China aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/5(2015-05-01), 1427-1441 1432-7643 19:5<1427 2015 19 500