research-article

3D Localization and Error Minimization in Underwater Sensor Networks

Authors:

Dinesh Kumar Sah,

Manjusha Kandulna,

Tarachand AmgothAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 18, Issue 3

Article No.: 31, Pages 1 - 25

https://doi.org/10.1145/3460435

Published: 15 September 2022 Publication History

Abstract

Wireless sensor networks (WSNs) consist of nodes distributed in the region of interest (ROI) that forward collected data to the sink. The node’s location plays a vital role in data forwarding to enhance network efficiency by reducing the packet drop rate and energy consumption. WSN scenarios, such as tracking, smart cities, and agriculture applications, require location details to accomplish the objective. Assuming a 3D application space, a combination of received signal strength (RSS) and time of arrival (TOA) can be helpful for reliable range estimation of nodes. Notably, the anchor node can minimize localization error for non-line-of-sight (NLOS) signals. We proposed an error minimization protocol for localization of the sensor node, assuming that the anchor node’s location is known prior and can limit the receiving signal in LOS, single, or twice reflection. We start to exploit the sensor node’s geometrical relationship and the anchor node for LOS and NLOS signals and address misclassification. We started initially from the erroneous node position, bound its volume in 3D space, and reduced volume with each iteration following the constraint. Our simulation result outperforms the traditional methods on many occasions, such as boundary volume and computational complexity.

References

[1]

Jonathan Bachrach, Radhika Nagpal, Michael Salib, and Howard Shrobe. 2004. Experimental results for and theoretical analysis of a self-organizing global coordinate system for ad hoc sensor networks. Telecommunication Systems 26, 2–4 (2004), 213–233.

Digital Library

[2]

Korhan Cengiz and Murat Aydemir. 2018. Next-generation infrastructure and technology issues in 5G systems. Journal of Communications Software and Systems 14, 1 (2018), 33–39.

[3]

Korhan Cengiz and Tamer Dag. 2015. Low energy fixed clustering algorithm (LEFCA) for wireless sensor networks. In International Conference on Computing and Network Communications (CoCoNet). IEEE, 79–84.

[4]

Korhan Cengiz and Tamer Dag. 2016. Multi-hop low energy fixed clustering algorithm (M-LEFCA) for WSNs. In 3rd International Symposium on Telecommunication Technologies (ISTT). IEEE, 31–34.

[5]

Korhan Cengiz and Tamer Dag. 2017. Energy aware multi-hop routing protocol for WSNs. IEEE Access 6 (2017), 2622–2633.

[6]

Jaekyu Cho, Jeongkeun Lee, Taekyoung Kwon, and Yanghee Choi. 2006. Directional antenna at sink (DAaS) to prolong network lifetime in wireless sensor networks. In 12th European Wireless Conference 2006-Enabling Technologies for Wireless Multimedia Communications. VDE, 1–5.

[7]

Shao-I Chu, Bing-Hong Liu, and Ngoc-Tu Nguyen. 2019. Secure AF relaying with efficient partial relay selection scheme. International Journal of Communication Systems 32, 15 (2019), e4105. arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/dac.4105.

[8]

Marcelo Salgueiro Costa, Slavisa Tomic, and Marko Beko. 2021. An SOCP estimator for hybrid RSS and AOA target localization in sensor networks. Sensors 21, 5 (2021), 1731.

[9]

Huanqing Cui and Yinglong Wang. 2012. Four-mobile-beacon assisted localization in three-dimensional wireless sensor networks. Computers & Electrical Engineering 38, 3 (2012), 652–661.

Digital Library

[10]

Laizhong Cui, Chong Xu, Genghui Li, Zhong Ming, Yuhong Feng, and Nan Lu. 2018. A high accurate localization algorithm with DV-Hop and differential evolution for wireless sensor network. Applied Soft Computing 68 (2018), 39–52.

Digital Library

[11]

Sylvie Delaët, Partha Sarathi Mandal, Mariusz A. Rokicki, and Sébastien Tixeuil. 2008. Deterministic secure positioning in wireless sensor networks. In International Conference on Distributed Computing in Sensor Systems. Springer, 469–477.

Digital Library

[12]

D. Do, M. V. Nguyen, T. N. Nguyen, X. Li, and K. Choi. 2020. Enabling multiple power beacons for uplink of NOMA-enabled mobile edge computing in wirelessly powered IoT. IEEE Access 8 (2020), 148892–148905.

[13]

Lance Doherty, Laurent El Ghaoui, et al. 2001. Convex position estimation in wireless sensor networks. In Proceedings of IEEE INFOCOM 2001. Conference on Computer Communications. 20th Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No. 01CH37213), Vol. 3. IEEE, 1655–1663.

[14]

Ziba Ebrahimian and Robert A. Scholtz. 2005. Source localization using reflection omission in the near-field. Technical Report. UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES COMMUNICATIONS SCIENCES INST.

[15]

Yi Gan, Xunchao Cong, and Yimao Sun. 2020. Refinement of TOA localization with sensor position uncertainty in closed-form. Sensors 20, 2 (2020), 390.

[16]

Sonia Goyal and Manjeet Singh Patterh. 2014. Wireless sensor network localization based on cuckoo search algorithm. Wireless Personal Communications 79, 1 (2014), 223–234.

Digital Library

[17]

Kun Hao, Qixin Xue, Cheng Li, and Kaicheng Yu. 2020. A hybrid localization algorithm based on Doppler shift and AOA for an underwater mobile node. IEEE Access 8 (2020), 181662–181673.

[18]

Tian He, Chengdu Huang, Brian M. Blum, John A. Stankovic, and Tarek Abdelzaher. 2003. Range-free localization schemes for large scale sensor networks. In Proceedings of the 9th Annual International Conference on Mobile Computing and Networking. ACM, 81–95.

Digital Library

[19]

Bernhard Hofmann-Wellenhof, Herbert Lichtenegger, and James Collins. 2012. Global Positioning System: Theory and Practice. Springer Science & Business Media.

[20]

Chen-Chien Hsu, Hsin-Chuan Chen, and Chien-Yu Lai. 2009. An improved ultrasonic-based localization using reflection method. In 2009 International Asia Conference on Informatics in Control, Automation and Robotics. IEEE, 437–440.

Digital Library

[21]

Liwen Hu, Ngoc-Tu Nguyen, Wenjin Tao, Ming C. Leu, Xiaoqing Frank Liu, Md Rakib Shahriar, and S. M. Nahian Al Sunny. 2018. Modeling of cloud-based digital twins for smart manufacturing with MT connect. Procedia Manufacturing 26 (2018), 1193–1203. 46th SME North American Manufacturing Research Conference, NAMRC 46, Texas.

[22]

Tariq Islam and Seok-Hwan Park. 2020. A comprehensive survey of the recently proposed localization protocols for underwater sensor networks. IEEE Access 8 (2020), 179224–179243. https://ieeexplore.ieee.org/abstract/document/9210036.

[23]

John F. Janek and Jeffrey J. Evans. 2010. Predicting ground effects of omnidirectional antennas in wireless sensor networks. Wireless Sensor Network 2, 12 (2010), 879.

[24]

P. Karuppusamy, Isidoros Perikos, Fuqian Shi, and Tu N. Nguyen. 2020. Sustainable Communication Networks and Application. Vol. 55. Springer.

[25]

Anil Kumar, Arun Khosla, Jasbir Singh Saini, and Satvir Singh. 2012. Computational intelligence based algorithm for node localization in wireless sensor networks. In 6th IEEE International Conference Intelligent Systems. IEEE, 431–438.

[26]

Shrawan Kumar and D. K. Lobiyal. 2017. Novel DV-Hop localization algorithm for wireless sensor networks. Telecommunication Systems 64, 3 (2017), 509–524.

Digital Library

[27]

N. T. Le, J. Wang, D. H. Le, C. Wang, and T. N. Nguyen. 2020. Fingerprint enhancement based on tensor of wavelet subbands for classification. IEEE Access 8 (2020), 6602–6615.

[28]

Jung-Kyu Lee, Youngjoon Kim, Jong-Ho Lee, and Seong-Cheol Kim. 2014. An efficient three-dimensional localization scheme using trilateration in wireless sensor networks. IEEE Communications Letters 18, 9 (2014), 1591–1594.

[29]

M. Li, Y. Huang, S. Chu, W. Jhong, and N. Nguyen. 2018. FPGA implementation of various activation functions for deep neural networks. In 2018 Taiwan and Japan Conference on Circuits and Systems. 1–4.

[30]

B. Liu, N. Nguyen, V. Pham, and Y. Yeh. 2016. A maximum-weight-independent-set-based algorithm for reader-coverage collision avoidance arrangement in RFID networks. IEEE Sensors Journal 16, 5 (2016), 1342–1350.

[31]

B. Liu, V. Pham, and N. Nguyen. 2015. A virtual backbone construction heuristic for maximizing the lifetime of dual-radio wireless sensor networks. In 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). 64–67.

[32]

B. H. Liu, N. T. Nguyen, and V. T. Pham. 2014. An efficient method for sweep coverage with minimum mobile sensor. In 10th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. 289–292.

Digital Library

[33]

Bing-Hong Liu, Ngoc-Tu Nguyen, Van-Trung Pham, and Yue-Xian Lin. 2017. Novel methods for energy charging and data collection in wireless rechargeable sensor networks. International Journal of Communication Systems 30, 5 (2017), e3050. arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/dac.3050.

[34]

Bing-Hong Liu, Ngoc-Tu Nguyen, Van-Trung Pham, and Wei-Sheng Wang. 2016. Constrained node-weighted Steiner tree based algorithms for constructing a wireless sensor network to cover maximum weighted critical square grids. Computer Communications 81 (2016), 52–60.

Digital Library

[35]

Bing-Hong Liu, Van-Trung Pham, and Ngoc-Tu Nguyen. 2015. An efficient algorithm of constructing virtual backbone scheduling for maximizing the lifetime of dual-radio wireless sensor networks. International Journal of Distributed Sensor Networks 11, 10 (2015), 475159. arXiv:https://doi.org/10.1155/2015/475159

Digital Library

[36]

B. H. Liu, V. T. Pham, N. T. Nguyen, and Y. S. Luo. 2016. A heuristic for maximizing the lifetime of data aggregation in wireless sensor networks. In 2016 International Congress on Engineering and Information (ICEAI). 235–241.

[37]

Kezhong Lu, Xiaohua Xiang, Dian Zhang, Rui Mao, and Yuhong Feng. 2011. Localization algorithm based on maximum a posteriori in wireless sensor networks. International Journal of Distributed Sensor Networks 8, 1 (2011), 260302.

[38]

Asma Mesmoudi, Mohammed Feham, and Nabila Labraoui. 2013. Wireless sensor networks localization algorithms: A comprehensive survey. arXiv preprint arXiv:1312.4082. (2013).

[39]

Kaushik Mondal, Partha Sarathi Mandal, and Bhabani P. Sinha. 2015. Analysis of multiple-bound signals towards localization: A theoretical approach. Wireless Personal Communications 83, 1 (2015), 49–67.

Digital Library

[40]

Zainab Munadhil, Sadik Kamel Gharghan, Ammar Hussein Mutlag, Ali Al-Naji, and Javaan Chahl. 2020. Neural network-based Alzheimer’s patient localization for wireless sensor network in an indoor environment. IEEE Access 8 (2020), 150527–150538.

[41]

P. V. B. Ngoc, T. N. Nguyen, N. D. Tan, T. T. Anh, and G. L. Nguyen. 2021. A novel approach for pivot-based sensor fusion of small satellites. Physical Communication 45 (2021), 101261.

[42]

N. Nguyen, M. C. Leu, and X. Liu. 2017. Real-time communication for manufacturing cyber-physical systems. In IEEE 16th International Symposium on Network Computing and Applications (NCA). 1–4.

[43]

N. Nguyen and B. Liu. 2019. The mobile sensor deployment problem and the target coverage problem in mobile wireless sensor networks are NP-Hard. IEEE Systems Journal 13, 2 (2019), 1312–1315.

[44]

N. Nguyen, B. Liu, S. Chu, and H. Weng. 2019. Challenges, designs, and performances of a distributed algorithm for minimum-latency of data-aggregation in multi-channel WSNs. IEEE Transactions on Network and Service Management 16, 1 (2019), 192–205.

Digital Library

[45]

N. Nguyen, B. Liu, and V. Pham. 2016. A dynamic-range-based algorithm for reader-tag collision avoidance deployment in RFID networks. In 2016 International Conference on Electronics, Information, and Communications (ICEIC). 1–4.

[46]

N. Nguyen, B. Liu, V. Pham, and C. Huang. 2018. Network under limited mobile devices: A new technique for mobile charging scheduling with multiple sinks. IEEE Systems Journal 12, 3 (2018), 2186–2196.

[47]

N. Nguyen, B. Liu, V. Pham, and T. Liou. 2018. An efficient minimum-latency collision-free scheduling algorithm for data aggregation in wireless sensor networks. IEEE Systems Journal 12, 3 (2018), 2214–2225.

[48]

N. Nguyen, B. Liu, and S. Wang. 2017. Network under limited mobile sensors: New techniques for weighted target coverage and sensor connectivity. In 2017 IEEE 42nd Conference on Local Computer Networks (LCN). 471–479.

[49]

N. Nguyen, B. Liu, and H. Weng. 2018. A distributed algorithm: Minimum-latency collision-avoidance multiple-data-aggregation scheduling in multi-channel WSNs. In 2018 IEEE International Conference on Communications (ICC). 1–6.

[50]

Ngoc-Tu Nguyen, Ming C. Leu, Sherali Zeadally, Bing-Hong Liu, and Shao-I Chu. 2018. Optimal solution for data collision avoidance in radio frequency identification networks. Internet Technology Letters 1, 3 (2018), e49. arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/itl2.49.

[51]

Ngoc-Tu Nguyen, Bing-Hong Liu, Van-Trung Pham, and Yi-Sheng Luo. 2016. On maximizing the lifetime for data aggregation in wireless sensor networks using virtual data aggregation trees. Computer Networks 105 (2016), 99–110.

Digital Library

[52]

T. G. Nguyen, T. V. Phan, D. T. Hoang, T. N. Nguyen, and C. So-In. 2020 (to appear). Efficient SDN-based traffic monitoring in Het-IoT networks with double deep Q-Network. In International Conference on Computational Data and Social Networks (CSoNet20). Springer, Cham.

Digital Library

[53]

T. N. Nguyen, B. Liu, S. Chu, D. Do, and T. D. Nguyen. 2020. WRSNs: Toward an efficient scheduling for mobile chargers. IEEE Sensors Journal 20, 12 (2020), 6753–6761.

[54]

T. N. Nguyen, B. H. Liu, and S. Y. Wang. 2020. On new approaches of maximum weighted target coverage and sensor connectivity: Hardness and approximation. IEEE Transactions on Network Science and Engineering 7, 3 (2020), 1736–1751.

[55]

T. N. Nguyen and S. Zeadally. 2021. Mobile crowd-sensing applications: Data redundancies, challenges, and solutions. ACM Transactions on Internet Technology 22, 2 (2021), 1–15.

[56]

Tu N. Nguyen, Sherali Zeadally, and Abhijith Vuduthala. 2021. Cyber-physical cloud manufacturing systems with digital-twins. IEEE Internet Computing 26, 3 (2021), 15–21. shorturl.at/LS578.

[57]

Dragoş Niculescu and Badri Nath. 2003. DV based positioning in ad hoc networks. Telecommunication Systems 22, 1-4 (2003), 267–280.

Digital Library

[58]

Chia-Ho Ou and Kuo-Feng Ssu. 2008. Sensor position determination with flying anchors in three-dimensional wireless sensor networks. IEEE Transactions on Mobile Computing 7, 9 (2008), 1084–1097.

Digital Library

[59]

Kaveh Pahlavan, Ferit O. Akgul, Mohammad Heidari, Ahmad Hatami, John M. Elwell, and Robert D. Tingley. 2006. Indoor geolocation in the absence of direct path. IEEE Wireless Communications 13, 6 (2006), 50–58.

Digital Library

[60]

Mayuresh M. Patil, Umesh Shaha, U. B. Desai, and S. N. Merchant. 2005. Localization in wireless sensor networks using three masters. In 2005 IEEE International Conference on Personal Wireless Communications, 2005. ICPWC 2005. IEEE, 384–388.

[61]

Bo Peng and Lei Li. 2015. An improved localization algorithm based on genetic algorithm in wireless sensor networks. Cognitive Neurodynamics 9, 2 (2015), 249–256.

[62]

D. V. Pham, G. L. Nguyen, T. N. Nguyen, C. V. Pham, and A. V. Nguyen. 2020. Multi-topic misinformation blocking with budget constraint on online social networks. IEEE Access 8 (2020), 78879–78889.

[63]

V. T. Pham, T. N. Nguyen, B. H. Liu, and T. Lin. 2021 (to appear). Minimizing latency for multiple-type data aggregation in wireless sensor networks. In IEEE Wireless Communications and Networking Conference (WCNC 2021).

Digital Library

[64]

V.-T. Pham, T. N. Nguyen, B.-H. Liu, M. T. Thai, B. Dumba, and T. Lin. 2021 (to appear). Minimizing latency for data aggregation in wireless sensor networks: An algorithm approach. ACM Transactions on Sensor Networks (2021 (to appear)).

[65]

Amit Kumer Podder, Abdullah Al Bukhari, Sayemul Islam, Sujon Mia, Mazin Abed Mohammed, Nallapaneni Manoj Kumar, Korhan Cengiz, and Karrar Hameed Abdulkareem. 2021. IoT based smart AgroTech system for verification of urban farming parameters. Microprocessors and Microsystems (2021), 104025.

Digital Library

[66]

G. Ranjan, T. N. Nguyen, H. Mekky, and Z. Zhang. 2020 (to appear). On virtual ID assignment in networks for high resilience routing: A theoretical framework. In IEEE Global Communications Conference (GLOBECOM 20).

Digital Library

[67]

Christof Röhrig and Marcel Müller. 2009. Indoor location tracking in non-line-of-sight environments using a IEEE 802.15. 4a wireless network. In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 552–557.

Digital Library

[68]

Chee Kiat Seow and Soon Yim Tan. 2008. Non-line-of-sight localization in multipath environments. IEEE Transactions on Mobile Computing 7, 5 (2008), 647–660.

Digital Library

[69]

Babar Shah and Ki-Il Kim. 2014. A survey on three-dimensional wireless ad hoc and sensor networks. International Journal of Distributed Sensor Networks 10, 7 (2014), 616014.

[70]

M. R. Shahriar, S. M. N. A. Sunny, X. Liu, M. C. Leu, L. Hu, and N. Nguyen. 2018. MTComm based virtualization and integration of physical machine operations with digital-twins in cyber-physical manufacturing cloud. In 5th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/4th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom). 46–51.

[71]

R. Shakila and B. Paramasivan. 2020. An improved range based localization using whale optimization algorithm in underwater wireless sensor network. Journal of Ambient Intelligence and Humanized Computing (2020), 1–11.

[72]

Chia-Yen Shih and Pedro José Marrón. 2010. COLA: Complexity-reduced trilateration approach for 3D localization in wireless sensor networks. In 4th International Conference on Sensor Technologies and Applications. IEEE, 24–32.

Digital Library

[73]

S. Shu, C. Lien, B. Liu, N. Nguyen, and S. Chronopoulos. 2018. Outage performance of cognitive AF relaying with N best relay selection over Nakagami-m fading channels. In 2018 International Congress on Engineering and Information (ICEAI). 397–400.

[74]

Francesco Betti Sorbelli, Sajal K. Das, Cristina M. Pinotti, and Simone Silvestri. 2018. Range based algorithms for precise localization of terrestrial objects using a drone. Pervasive and Mobile Computing 48 (2018), 20–42.

[75]

Xin Su, Inam Ullah, Xiaofeng Liu, and Dongmin Choi. 2020. A review of underwater localization techniques, algorithms, and challenges. Journal of Sensors 2020 (2020).

[76]

Qiang Sun, Soon Yim Tan, and Kah Chan Teh. 2005. Analytical formulae for path loss prediction in urban street grid microcellular environments. IEEE Transactions on Vehicular Technology 54, 4 (2005), 1251–1258.

[77]

Archana Toky, Rishi Pal Singh, and Sanjoy Das. 2020. Localization schemes for underwater acoustic sensor networks—a review. Computer Science Review 37 (2020), 100241.

[78]

D. N. Tran, T. N. Nguyen, P. C. P. Khanh, and D. T. Tran. 2021 (to appear). An IoT-based design using accelerometers in animal behavior recognition systems. IEEE Sensors Journal (2021 (to appear)).

[79]

Jing Wang, Ratan K. Ghosh, and Sajal K. Das. 2010. A survey on sensor localization. Journal of Control Theory and Applications 8, 1 (2010), 2–11.

[80]

Chin-Der Wann and Chih-Sheng Hsueh. 2011. Non-line of sight error mitigation in ultra-wideband ranging systems using biased Kalman filtering. Journal of Signal Processing Systems 64, 3 (2011), 389–400.

Digital Library

Cited By

Zhang LZhou XLi DYang Z(2024)HCCNet: Hybrid Coupled Cooperative Network for Robust Indoor LocalizationACM Transactions on Sensor Networks10.1145/366564520:4(1-22)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3665645
Shi LYao SNing NZhou Y(2024)Barycentric Coordinate-Based Distributed Localization Over 3-D Underwater Wireless Sensor NetworksIEEE Transactions on Signal and Information Processing over Networks10.1109/TSIPN.2024.344064410(640-649)Online publication date: 2024
https://doi.org/10.1109/TSIPN.2024.3440644
Xue HChen HDai QLin KLi JLi Z(2024)CSCT: Charging Scheduling for Maximizing Coverage of Targets in WRSNsIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.316978011:3(3049-3059)Online publication date: Jun-2024
https://doi.org/10.1109/TCSS.2022.3169780
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Index Terms

3D Localization and Error Minimization in Underwater Sensor Networks
1. Networks

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cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 18, Issue 3

August 2022

480 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/3531537

Editor:
Yunhao Liu
Tsinghua University, China

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Publication History

Published: 15 September 2022

Online AM: 23 February 2022

Accepted: 08 April 2021

Revised: 22 March 2021

Received: 01 February 2021

Published in TOSN Volume 18, Issue 3

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https://dl.acm.org/doi/10.1145/3665645
Shi LYao SNing NZhou Y(2024)Barycentric Coordinate-Based Distributed Localization Over 3-D Underwater Wireless Sensor NetworksIEEE Transactions on Signal and Information Processing over Networks10.1109/TSIPN.2024.344064410(640-649)Online publication date: 2024
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https://doi.org/10.1109/TCSS.2022.3169780
Mei XHan DSaeed NWu HHan BLi K(2024)Localization in Underwater Acoustic IoT Networks: Dealing With Perturbed Anchors and StratificationIEEE Internet of Things Journal10.1109/JIOT.2024.336024511:10(17757-17769)Online publication date: 15-May-2024
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