Login Register Cart 0
Generic placeholder image

International Journal of Sensors, Wireless Communications and Control

Editor-in-Chief

ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

Agent-based Localization using Mobile Sink in Wireless Sensor Networks

Author(s): Vidya S. Bennur, Ashok V. Sutagundar and Lokesh B. Bhajantri*

Volume 12, Issue 5, 2022

Published on: 18 July, 2022

Page: [387 - 401] Pages: 15

DOI: 10.2174/2210327912666220405154504

Price: $65

Abstract

Aims: This paper presents agent-based localization using the mobile sink in wireless sensor networks. This proposed scheme is less expensive than GPS. It has a longer lifetime and is more energy-efficient. The mobile sink has a large and easily replenishable energy reserve and is movable within the sensor network's deployment area.

Objective: In this work, a mobile sink is proposed that traverses inside the network's boundary and gathers information at a low energy cost.

Methods: The use of a mobile sink in localization introduces a new way to reduce energy consumption in WSNs. The location of a mobile sink beacon signal is known to all the sensor nodes and is also communicated periodically to all the sensor nodes. The distance measurements of the three beacon signals broadcasted by the mobile sink moving in a predetermined path and time slot are considered in this scheme, which uses the trilateration method to compute the position of the node. For isolated nodes, location estimation is performed for non-GPS equipped nodes to derive from the network their locations by using the reference node beacon signals and performing multilateration. For nodes that receive only one beacon signal from the sink, position estimation is performed by considering the reference node beacon signal by iterative multilateration technique.

Results: In this scheme, reference nodes are those nodes that are localized by the sink, and no GPS is included. The proposed algorithm is simulated using C language, and some of the performance parameters used for the evaluation of the scheme are localization time, localization error, data gathering time, and communication overhead.

Conclusion: The proposed work is compared to the centralized algorithm and the proposed work has been found to outperform the existing networks.

Keywords: Localization, agent technology, mobile sink node, trilateration, multilateration, reference node, isolated node.

« Previous Next »
[1]
Amutha B, Ponnavaikko M, Karthick N, Saravanan M. Localization algorithm using varying speed mobile sink for wireless sensor net-works Int J Ad hoc Sensor & Ubiquitous Computing 2010; 1(3): 130-49. [IJASUC].
[http://dx.doi.org/10.5121/ijasuc.2010.1311]
[2]
Qinghua L, Chao L, Xiaozhen Y, et al. A distributed localization method for wireless sensor networks based on anchor node optimal se-lection and particle filter. Int J Sensors 2022; 22: 1-17.
[3]
Qingji Q, Xuanjing S, Haipeng C. An improved node localization algorithm based on DVHop for wireless sensor networks. Comput Sci Inf Syst 2011; 8(4): 953-72.
[http://dx.doi.org/10.2298/CSIS110222051Q]
[4]
Huang T, Chen Z, Xia F, Jin C, Li L. A practical localization algorithm based on wireless sensor networks. IEEE/ACM International Conference on Green Computing and Communications & International Conference on Cyber, Physical and Social Computing; 2010 Dec 18-20; Hangzhou, China 2010; 50-4.
[5]
ChinPu C, Hsian Pu C, Lee H. Indoor location tracking using received signal strength indicator. Int J emerging communications for wireless sensor networks 2011; 4: 229-56.
[6]
Bao X, Bao F, Liu S. An improved DV-Hop localization algorithm for wireless sensor network. In 6th International Conference on Wireless Communications Networking and Mobile Computing; 2010 Sept 23-125; Chengdu, China 2010; 1-4.
[http://dx.doi.org/10.1109/WICOM.2010.5601108]
[7]
Nawaz S, Trigoni N. Convex programming based robust localization in NLOS prone cluttered environments. 10th ACM/IEEE International Conference on Information Processing in Sensor Networks. Chicago, IL, USA. 2011.
[8]
Ahmad A, Rathore MM, Paul A, et al. Data transmission scheme using mobile sink in static wireless sensor network. J Sens 2015; 279304: 1-8.
[http://dx.doi.org/10.1155/2015/279304]
[9]
Mass-Sanchez J, Ruiz-Ibarra E, Cortez-González J, Espinoza-Ruiz A, Castro L. Weighted hyperbolic DV-Hop positioning node localization algorithm in WSN. Int J Wireless Personal Communications 2017; 96: 5011-33.
[http://dx.doi.org/10.1007/s11277-016-3727-5]
[10]
Zhang X, Fang J, Meng F. An efficient node localization approach with rssi for randomly deployed wireless sensor networks. Iran J Electr Comput Eng 2016; 2080854: 1-11.
[http://dx.doi.org/10.1155/2016/2080854]
[11]
Ngoc Mai N, Chung Tran L, Farzad S, et al. Performance evaluation of Non-GPS based localization techniques under shadowing effects. Int J Sensors 2020; 19(11): 2633-40.
[12]
Futa W. Wireless sensor network localization using AOA measurements with two-step error variance-weighted least squares Int J IEEE Access 2021; 9: 10820-28.
[http://dx.doi.org/10.1109/ACCESS.2021.3050309]
[13]
Slavisa T, Marko B, Rui D. Luis. On target localization using combined RSS and AoA measurements. Int J Sensors 2018; 18(4): 1266.
[http://dx.doi.org/10.3390/s18041266]
[14]
Sumit K, Shrawan K, Neera B. Optimized distance range free localization algorithm for WSN. Int J Wirel Pers Commun 2021; 117: 1879-907.
[http://dx.doi.org/10.1007/s11277-020-07950-7]
[15]
Sheng F, Chengdong W, Yunzhou Z, Gabriele O. WSN Deployment and localization using a mobile agent. Int J Wirel Pers Commun 2017; 97(2): 4921-31.
[16]
Siwei Z, Thomas J, Wei W, et al. Distributed direct localization suitable for dense networks. IEEE Trans Aerosp Electron Syst 2020; 56(2): 1209-27.
[http://dx.doi.org/10.1109/TAES.2019.2928606]
[17]
Mohamed G, Abd El G, Sara K, Yasmine A. Improved DV-Hop based on squirrel search algorithm for localization in wireless sensor networks. Int J Wirel Netw 2021; 21: 2743-59.

Rights & Permissions Print Cite
Article Metrics
4
© 2024 Bentham Science Publishers | Privacy Policy