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The challenge of wireless sensor network (WSN) becomes truly pervasive is that of reliable positioning problem. The positioning accuracy of the traditional DV-HOP (Distance Vector-HOP) algorithm has very strong dependence for density of anchor node, only when anchor node density reaches a certain extent, will it has better positioning effect. Therefore, it increases the cost of network service. In this paper, we propose novel positioning service computing method for WSN. The method can estimate distance of nodes which has same neighbor nodes by maximum likelihood estimation. It effectively improves the accuracy of measuring distance among nodes. The nodes can obtain itself average hop distance by the distance from itself to its circular nodes and the number of jump. It’s a good solution to solve the dependence of traditional DV-HOP algorithm on anchor node density. In the positioning service stage, based on intersection density among circles with anchor node as center and estimation distance as radius, the method can replace triangle positioning algorithm by the method of estimating the node coordinates to be measured. The belief degree of reliable positioning service can be computed by our proposed fusion method. Our experiments show that our presented method can solve the problem of estimated error of distance caused by loop and it can greatly improve the efficiency of positioning service.
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Zhang, D. G., & Li, G. (2014). An energy-balanced routing approach based on forward-aware factor for wireless sensor network. IEEE Transactions on Industrial Informatics, 10(1), 766–773. CrossRef
Niculescu, D. (2001). Ad hoc positioning system (APS). In Global Telecommunications Conference. GLOBECOM’01 (Vol. 5(1), pp. 30–38). IEEE.
Niculescu, D., & Nath, B. (2003). DV based positioning in ad hoc networks. Telecommunication Systems, 22(1–4), 267–280. CrossRef
Zhang, D. G. (2012). A new approach and system for attentive mobile learning based on seamless migration. Applied Intelligence, 36(1), 75–89. CrossRef
Shang, Y., & Ruml, W. (2004). Improved MDS-based localization. In INFOCOM 2004 (Vol. 4, pp. 2640–2651). IEEE.
Wang, Z. (2009). Improvement on APIT localization algorithms for wireless sensor networks. In International conference on networks security, wireless communications and trusted computing (Vol. 1(1), pp. 40–48). IEEE.
Wang, Y., Wang, X., Wang, D., et al. (2009). Range-free localization using expected hop progress in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 20(10), 1540–1552. CrossRef
Huang, B. Q. (2012). Estimating distances via connectivity in wireless sensor networks. International Conference on WCMC, 1(1), 50–59.
Zhang, D. G., & Zhu, Y. N. (2012). A new constructing approach for a weighted topology of wireless sensor networks based on local-world theory for the Internet of Things (IOT). Computers & Mathematics with Applications, 64(5), 1044–1055. CrossRef
Zhang, D. G., Wang, X., & Song, X. D. (2015). New clustering routing method based on PECE for WSN. EURASIP Journal on Wireless Communications and Networking, 2015(162), 1–13. doi: 10.1186/s13638-015-0399-x.
Meng, W., Xiao, W., & Xie, L. (2011). An efficient EM algorithm for energy-based multi-source localization in wireless sensor networks. IEEE Transactions on Instrumentation and Measurement, 60(3), 1017–1027. CrossRef
Zhang, D. G., & Zhang, X. D. (2012). Design and implementation of embedded un-interruptible power supply system (EUPSS) for web-based mobile application. Enterprise Information Systems, 6(4), 473–489. CrossRef
Zhang, D. G., & Liang, Y. P. (2013). A kind of novel method of service-aware computing for uncertain mobile applications. Mathematical and Computer Modelling, 57(3–4), 344–356. CrossRef
Massimo, F. (2007). Random networks for communication: from statistical physics to information systems (pp. 20–70). Cambridge: Cambridge University Press.
Stanislava, S. (2009). Cluster head election techniques for coverage preservation in wireless sensor networks. Ad Hoc Networks, 5(7), 955–972.
Samaras, I. K., & Hassapis, G. D. (2013). A modified DPWS protocol stack for 6LoWPAN-based wireless sensor networks. IEEE Transactions on Industrial Informatics, 9(1), 209–217. CrossRef
Zhang, D. G., Zheng, K., & Zhang, T. (2014). A novel multicast routing method with minimum transmission for WSN of cloud computing service. Soft Computing, 19(7), 1817–1827. CrossRef
Fisher, J. (1999). Fast JPDA multi-target tracking. Applied Optics, 28(1), 371–375.
Zhang, D. G., Xu, G. Y., & Shi, Y. C. (2004) Extended method of evidence theory for pervasive computing. Chinese Journal of Computer (in Chinese).
Saha, F. T., & Chang, T. C. (2007). An efficient algorithm for multi-sensor track fusion. IEEE Transactions on Aero-space Electronic Systems, 34(1), 200–210. CrossRef
Reid, D. B. (1999). An algorithm for tracking multiple targets. IEEE Transaction on Automatic Control, 24(6), 843–854. CrossRef
Musick, S., Kastella, K., & Mahler, K. (2005). A practical implementation of joint multi-target probabilities. SPIE Proceedings, 3374, 26–37. CrossRef
Zhang, D. G. (2015). Extended AODV routing method based on distributed minimum transmission (DMT) for WSN. International Journal of Electronics and Communications, 69(1), 371–381. CrossRef
Nan, W., Liu, F., & Wang, S. (2015). Algorithm for locating nodes in WSN based on modifying hops and hopping distances. Microelectronics & Computer [J], 32(01), 91–95.
Xia, S., Zou, J., Zhu, X., et al. (2015). Improvement on DV-Hop localization algorithm in wireless sensor networks. Journal of Computer Applications, 35(2), 340–344.
Zhang, D. G., Wang, X., & Song, X. D. (2014). A novel approach to mapped correlation of ID for RFID anti-collision. IEEE Transactions on Services Computing, 7(4), 741–748. CrossRef
Zhang, D. G., & Song, X. D. (2015). New agent-based proactive migration method and system for big data environment (BDE). Engineering Computations, 32(8), 2443–2466. CrossRef
Zhang, D. G., Zheng, K., & Zhao, D. X. (2016). Novel quick start (QS) method for optimization of TCP. Wireless Networks, 22(1), 211–222. CrossRef
Zhang, D. G., Li, G., & Pan, Z. H. (2014). A new anti-collision algorithm for RFID tag. International Journal of Communication Systems, 27(11), 3312–3322.
- Novel Positioning Service Computing Method for WSN
- Springer US
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