Improving the Localization Probability and Decreasing Communication Cost for Mobile Users

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• 关键词：Localization for mobile users ; Localization probability ; Communication cost ; Mobile anchors electing ; Hashing
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：10067
• 期：1
• 页码：197-207
• 全文大小：1,379 KB
• 参考文献：1.Wang, T., Cai, Y., Jia, W., Wen, S., Wang, G., Tian, H., Chen, Y., Zhong, B.: Maximizing real-time streaming services based on a multi-servers networking framework. Comput. Netw. 93, 199–212 (2015)CrossRef
  2.Wang, T., Jia, W., Zhong, B., Tian, H., Zhang, G.: BlueCat: an infrastructure-free system for relative mobile localization. Adhoc Sensor Wirel. Netw. 29, 133–152 (2015)
  3.Jurdak, R., Corke, P., Cotillon, A., Dharman, D., Crossman, C.: Energy-efficient localization: GPS duty cycling with radio ranging. ACM Trans. Sensor Netw. (TOSN) 9(2), 1–33 (2013)CrossRef
  4.Han, G., Xu, H., Duong, T.Q., Jiang, J., Hara, T.: Localization algorithm of wireless sensor networks: a survey. Telecommun. Syst. 52(4), 2419–2436 (2013)CrossRef
  5.Salari, S., Shahbazpanahi, S., Ozdemir, K.: Mobility-aided wireless sensor network localization via semidefinite programming. IEEE Trans. Wirel. Commun. 12(12), 5966–5978 (2013)CrossRef
  6.Biswas, P., Liang, T.C., Toh, K.C., Wang, T.C., Ye, Y.: Semidefinite programming approaches for sensor network localization with noisy distance measurements. IEEE Trans. Autom. Sci. Eng. 3(4), 360–371 (2006)CrossRef
  7.Chang, C.Y., Wang, T.L., Tung, C.Y: A mobile anchor assisted localization mechanism for Wireless Sensor Networks. In: IEEE Wireless Communications and Networking Conference (WCNC), pp. 2793–2798. IEEE (2014)
  8.Bao, H., Zhang, B., Li, C., Yao, Z.: Mobile anchor assisted particle swarm optimization (PSO) based localization algorithms for wireless sensor networks. Wirel. Commun. Mob. Comput. 12(15), 1313–1325 (2012)CrossRef
  9.Halder, S., Ghosal, A.: A survey on mobile anchor assisted localization techniques in wireless sensor networks. Wireless Netw. 22, 1–20 (2015)
  10.Wu, G., Wang, S., Wang, B., Dong, Y., Yan, S.: A novel range-free localization based on regulated neighborhood distance for wireless ad hoc and sensor networks. Comput. Netw. 56(16), 3581–3593 (2012)CrossRef
  11.Sharma, Y., Gulhane, V.: Hybrid mechanism for multiple user indoor localization using smart antenna. In: 2015 Fifth International Conference on Advanced Computing & Communication Technologies (ACCT), pp. 602–607. IEEE (2015)
  12.Ssu, K.F., Ou, C.H., Jiau, H.C.: Localization with mobile anchor points in wireless sensor networks. IEEE Trans. Veh. Technol. (TVT) 54(3), 1187–1197 (2005)CrossRef
  13.Ou, C.H., He, W.L.: Path planning algorithm for mobile anchor-based localization in wireless sensor networks. IEEE Sens. J. 13(2), 466–475 (2013)CrossRef
  14.Chen, H., Shi, Q., Tan, R., Poor, H.V., Sezaki, K.: Mobile element assisted cooperative localization for wireless sensor networks with obstacles. IEEE Trans. Wirel. Commun. 9(3), 956–963 (2010)CrossRef
  15.Pandey, S., Varma, S.: A range based localization system in multihop wireless sensor networks: a distributed cooperative approach. Wireless Pers. Commun. 86(2), 615–634 (2016)CrossRef
  16.Wang, X., Zhou, H., Mao, S., Pandey, S., Agrawal, P., Bevly, D.M.: Mobility improves LMI-based cooperative indoor localization. In: 2015 IEEE Wireless Communications and Networking Conference (WCNC), pp. 2215–2220. IEEE (2015)
  
• 作者单位：Wenhua Wang (17)
  Tian Wang (17)
  Md. Zakirul Alam Bhuiyan (18)
  Yiqiao Cai (17)
  Hui Tian (17)
  Yonghong Chen (17)
  
  17. College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, Fujian, China
  18. Department of Computer and Information Sciences, Fordham University, New York, USA
  
• 丛书名：Security, Privacy and Anonymity in Computation, Communication and Storage
• ISBN：978-3-319-49145-5
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：10067

文摘

This paper studies the problem of localization for mobile users with low communication cost. Due to the sparse deployment of anchors, the localization probabilities achieved by the traditional fixed anchors-based methods are not acceptable. To solve this problem, we propose to exploit the localized users as the mobile anchors for localizing the non-localized users. In this way, the localization probability can be improved. Moreover, an algorithm for electing mobile anchors is designed to decrease the communication cost, with several provable properties. This electing algorithm is a distributed method, without negotiation among mobile users. Extensive experimental results demonstrate that in terms of localization probability, our method outperforms the traditional fixed anchors-based methods by approximately 30 %~60 % with a small increment of communication cost.