Theoretical analysis of hybrid RSS and TOA localization with stratified propagation under inaccurate anchors in UAIoTs

Xiaojun Mei , Huafeng Wu , Jiangfeng Xian , Xinqiang Chen , Yining Zang

Intelligent Marine Technology and Systems ›› 2026, Vol. 4 ›› Issue (1) : 2

PDF
Intelligent Marine Technology and Systems ›› 2026, Vol. 4 ›› Issue (1) :2 DOI: 10.1007/s44295-025-00085-0
Research Paper
research-article

Theoretical analysis of hybrid RSS and TOA localization with stratified propagation under inaccurate anchors in UAIoTs

Author information +
History +
PDF

Abstract

Localization is a crucial technique for determining target locations in underwater acoustic internet of things (UAIoT) systems. However, the presence of stratified oceanic environments and anchor position uncertainties significantly undermine localization accuracy. To rigorously investigate their adverse effects on localization performance, this study presents a comprehensive theoretical analysis of hybrid RSS/TOA-based localization under stratified propagation and inaccurate anchors in UAIoT systems. First, a stratified acoustic propagation model is established, and the corresponding Cram

e´
r-Rao lower bound (CRLB) is derived for RSS and TOA measurements. The analysis is then extended to a hybrid scenario incorporating anchor inaccuracy using the Banachiewicz-Schur theorem, resulting in a unified expression for the theoretical performance bound. Simulation results confirm the validity of the derived CRLB across diverse scenarios. Compared with using a single ranging modality, the derived lower-bound performance of the proposed hybrid RSS/TOA approach improves by at least 19.8% under accurate-anchor conditions and 24.1% under inaccurate-anchor conditions. The findings provide theoretical benchmarks and practical guidance for designing robust localization strategies in stratified oceanic environments.

Keywords

Hybrid localization / Theoretical analysis / Stratified propagation / Inaccurate anchors / Underwater acoustic internet of things

Cite this article

Download citation ▾
Xiaojun Mei, Huafeng Wu, Jiangfeng Xian, Xinqiang Chen, Yining Zang. Theoretical analysis of hybrid RSS and TOA localization with stratified propagation under inaccurate anchors in UAIoTs. Intelligent Marine Technology and Systems, 2026, 4(1): 2 DOI:10.1007/s44295-025-00085-0

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Angjelichinoski M, Denkovski D, Atanasovski V, Gavrilovska L. Cramér-Rao lower bounds of rss-based localization with anchor position uncertainty. IEEE Trans Inf Theory, 2015, 61(5): 2807-2834

[2]

Baksalary JK, Styan GP. Generalized inverses of partitioned matrices in Banachiewicz-Schur form. Linear Algebra Appl, 2002, 354(1–3): 41-47

[3]

Berger CR, Zhou SL, Willett P, Liu LB. Stratification effect compensation for improved underwater acoustic ranging. IEEE Trans Signal Proc, 2008, 56(8): 3779-3783

[4]

Campagnaro F, Steinmetz F, Renner BC. Survey on low-cost underwater sensor networks: from niche applications to everyday use. J Mar Sci Eng, 2023, 11(1 125

[5]

Chang SM, Li YM, He YC, Wang H. Target localization in underwater acoustic sensor networks using RSS measurements. Appl Sci, 2018, 8(2 225

[6]

Chen GX, Wang G, Ho KC, Huang L. Underwater acoustic source localization by toa with indeterminate isogradient sound speed profile. IEEE Internet Things J, 2025, 12(17): 35522-35542

[7]

Coluccia A, Fascista A. On the hybrid TOA/RSS range estimation in wireless sensor networks. IEEE Trans Wirel Commun, 2018, 17(1): 361-371

[8]

Coluccia A, Fascista A. Hybrid TOA/RSS range-based localization with self-calibration in asynchronous wireless networks. J Sens Actuator Netw, 2019, 8(2 31

[9]

Diamant R, Tan HP, Lampe L (2010) NLOS identification using a hybrid ToA-signal strength algorithm for underwater acoustic localization. In: OCEANS 2010 MTS/IEEE SEATTLE. IEEE, pp 1–7. https://doi.org/10.1109/OCEANS.2010.5664483

[10]

Gan XJ, Huang GS, Wu WH. Underwater wireless networking method for TLP tension leg prototype monitoring based on energy consumption optimal criterion. Ocean Eng, 2022, 40(3): 139-148

[11]

Ho KC, Lu XN, Kovavisaruch L. Source localization using TDOA and FDOA measurements in the presence of receiver location errors: analysis and solution. IEEE Trans Signal Process, 2007, 55: 684-696

[12]

Jiang YH, Renner BC. Low-cost underwater swarm acoustic localization: a review. IEEE Access, 2024, 12: 25779-25796

[13]

Khalil RA, Saeed N, Babar MI, Jan T, Din S. Bayesian multidimensional scaling for location awareness in hybrid-internet of underwater things. IEEE-CAA J Autom Sin, 2022, 9(3): 496-509

[14]

Kim C, Lee S, Kim K (2011) 3D underwater localization with hybrid ranging method for near-sea marine monitoring. In: 2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing. IEEE, pp 438–441. https://doi.org/10.1109/EUC.2011.1

[15]

Kim J. 3-D localization of heterogeneous underwater networks using hybrid TOA-AOA measurements under random DoS attack. IEEE Internet Things J, 2025, 12(12): 22257-22266

[16]

Li PJ, Liu YT, Yan TW, Yang ST, Li R. An underwater source localization method using bearing measurements. Sensors, 2024, 24(5 1627

[17]

Li ZN, Chitre M, Stojanovic M. Underwater acoustic communications. Nat Rev Electr Eng, 2025, 2: 83-95

[18]

Liu CL, Zhang YF, Yin L, Huang HN. Validity of matched-field source localization in under-ice shallow water. Intelligent Marine Technology and Systems, 2024, 2 8

[19]

Luo JH, Yang Y, Wang ZY, Chen YP. Localization algorithm for underwater sensor network: a review. IEEE Internet Things J, 2021, 8(17): 13126-13144

[20]

Luo TJ, Chen WJ, Chen FJ, Ji F, Yu H (2016) Cramér-Rao bounds of source localization with distributed sensors in underwater multipath environment. In: OCEANS 2016–Shanghai. IEEE, pp 1–6. https://doi.org/10.1109/OCEANSAP.2016.7485683

[21]

Mei XJ, Chen YZ, Xu XF, Wu HF. RSS localization using multistep linearization in the presence of unknown path loss exponent. IEEE Sens Lett, 2022, 6(8): 1-4

[22]

Mei XJ, Han DZ, Chen YZ, Wu HF, Ma T. Target localization using information fusion in WSNs-based marine search and rescue. Alex Eng J, 2023, 68: 227-238

[23]

Mei XJ, Han DZ, Saeed N, Wu HF, Han B, Li KC. Localization in underwater acoustic IoT networks: dealing with perturbed anchors and stratification. IEEE Internet Things J, 2024, 11(10): 17757-17769

[24]

Mei XJ, Han DZ, Saeed N, Wu HF, Miao FH, Xian JF, et al.. Navigating the depths: a stratification-aware coarse-to-fine received signal strength-based localization for internet of underwater things. Front Mar Sci, 2023, 10 1210519

[25]

Mei XJ, Miao FH, Wang WJ, Wu HF, Han B, Wu ZD, et al.. Enhanced target localization in the internet of underwater things through quantum-behaved metaheuristic optimization with multi-strategy integration. J Mar Sci Eng, 2024, 12(6 1024

[26]

Mei XJ, Wu HF, Miao FH, Han DZ, et al.. Quantum-inspired optimal sensor deployment for 3D localization under uncertain target in stratified oceanic environment. Ocean Eng, 2025, 341 122646

[27]

Mei XJ, Wu HF, Saeed N, Han DZ, Li KC (2025b) Stratification-aware RSS-based localization in underwater environments: CRLB analysis and perturbation-resilient solutions. IEEE Wirel Commun Lett [Online: Early access]. https://doi.org/10.1109/LWC.2025.3606418

[28]

Mei XJ, Wu HF, Saeed N, Ma T, Xian JF, Chen YZ. An absorption mitigation technique for received signal strength-based target localization in underwater wireless sensor networks. Sensors, 2020, 20(17 4698

[29]

Nain M, Goyal N, Dhurandher SK, Dave M, Verma AK, Malik A. A survey on node localization technologies in UWSNs: potential solutions, recent advancements, and future directions. Int J Commun Syst, 2024, 37(16 e5915

[30]

Niu HQ, Li XL, Zhang YL, Xu J. Advances and applications of machine learning in underwater acoustics. Intelligent Marine Technology and Systems, 2023, 1 8

[31]

Panwar K, Katwe M, Babu P, Ghare P, Singh K. A majorization-minimization algorithm for hybrid TOA-RSS based localization in NLOS environment. IEEE Commun Lett, 2022, 26(5): 1017-1021

[32]

Piquette JC, Paolero AE. Phase change measurement, and speed of sound and attenuation determination, from underwater acoustic panel tests. J Acoust Soc Am, 2003, 113(3): 1518-1525

[33]

Pourkabirian A, Kooshki F, Anisi MH, Jindal A. An accurate RSS/AoA-based localization method for internet of underwater things. Ad Hoc Netw, 2023, 145 103177

[34]

Pu WYT, Zhu W, Qiu Y. A hybrid localization algorithm for underwater nodes based on neural network and mobility prediction. IEEE Sens J, 2024, 24(16): 26731-26742

[35]

Qiu F, Guo DS. Asynchronous localization of dynamic node through underwater acoustic sensor networks. Appl Acoust, 2025, 228 110275

[36]

Raick X, Vendrame M, Lecchini D, Parmentier É. Evidence of vertical stratification in marine environments: insights from passive acoustic monitoring in French Polynesia. Deep-Sea Res Part I-Oceanogr Res Pap, 2025, 223 104548

[37]

Saeed N, Celik A, Alouini MS, Al-Naffouri TY. Analysis of 3D localization in underwater optical wireless networks with uncertain anchor positions. Sci China Inf Sci, 2020, 63 202305

[38]

Sengijpta SK. Fundamentals of statistical signal processing: estimation theory. Technometrics, 1995, 37(4): 465-466

[39]

Shamsian MR, Behnia F. TOA/RSS-based source localization using probabilistic model in mixed LOS/NLOS environments. IEEE Trans Veh Technol, 2025, 74(3): 4473-4484

[40]

Sørensen FF, Mai C, von Benzon M, Liniger J, Pedersen S. The localization problem for underwater vehicles: an overview of operational solutions. Ocean Eng, 2025, 330 121173

[41]

Stojanovic M, Preisig J. Underwater acoustic communication channels: propagation models and statistical characterization. IEEE Commun Mag, 2009, 47(1): 84-89

[42]

Tsai PH, Tsai RG. Wang SS (2017) Hybrid localization approach for underwater sensor networks. J Sens, 2017, 1: 5768651

[43]

Vo DT, Nguyen XP, Nguyen TD, Hidayat R, Huynh TT, Nguyen DT. A review on the internet of thing (IoT) technologies in controlling Ocean environment. Energy Sources Part A-Recover Util Environ Eff, 2025, 47(1): 10064-10082

[44]

Wu LH, Pan CN, Zhang RX, Shi JH, Yuan F. Underwater TDOA peer-to-peer localization based on channel feature matching. IEEE Internet Things J, 2025, 12(43871-3886

[45]

Xian JF, Ma JL, Mei XJ, Wu HF, Saeed N, Han DZ, et al.. Robust coarse-to-fine 3-D-target-localization algorithm for underwater-iot-based networks: design and performance evaluation under uncertain multiparameters. IEEE Internet Things J, 2025, 12(13): 25119-25135

[46]

Xiong HL, Peng MX, Gong S, Du ZF. A novel hybrid RSS and TOA positioning algorithm for multi-objective cooperative wireless sensor networks. IEEE Sens J, 2018, 18(22): 9343-9351

[47]

Yan J, Guan XP, Yang X, Chen CL, Luo XY. A survey on integration design of localization, communication, and control for underwater acoustic sensor networks. IEEE Internet Things J, 2025, 12(6): 6300-6324

[48]

Zhang HY, Yang JM, Xu WH. Integrated localization and navigation algorithm for deep-sea mining vehicles based on sonar image. Ocean Eng, 2023, 41(5): 169-180

[49]

Zhang YY, Gulliver TA, Wu HF, Li JP, Mei XJ, Xian JF, et al.. 3-D RSSD localization under mixed Gaussian noise and NLOS environments in UWSNs. IEEE Internet Things J, 2025, 12(14): 28731-28742

[50]

Zhang ZK, Lin YH, Jin B. Underwater TDOA/AOA joint localization algorithm based on hybrid invasive weed optimization algorithm. IET Commun, 2021, 15(19): 2376-2389

[51]

Zhao HY, Gong ZJ, Yan J, Li C, Guan XP. Unsynchronized underwater localization with isogradient sound speed profile and anchor location uncertainties. IEEE Trans Veh Technol, 2024, 73(6): 8864-8877

[52]

Zhou R, Chen J, Tan W, Yuan H, Cai C. Sensor selection for hybrid AOA-TOA localization with correlated measurement noise in underwater wireless sensor networks. Wirel Commun Mob Comput, 2022, 1: 2779760

Funding

National Natural Science Foundation of China(52201401)

National Natural Science Foundation of China(52201403)

National Natural Science Foundation of China(52331012)

National Natural Science Foundation of China(52472347)

Shanghai Committee of Science and Technology, China(23010502000)

Chenguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission(24CGA52)

Chenguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission(23CGA61)

China Scholarship Council(202508310266)

RIGHTS & PERMISSIONS

The Author(s)

PDF

36

Accesses

0

Citation

Detail

Sections
Recommended

/