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Erschienen in: Arabian Journal for Science and Engineering 8/2022

04.01.2022 | Research Article-Computer Engineering and Computer Science

A Novel Path Planning Model Based on Nested Regular Hexagons for Mobile Anchor-Assisted Localization in Wireless Sensor Networks

verfasst von: Serap Karagol, Dogan Yildiz

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 8/2022

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Abstract

In many wireless sensor networks (WSNs) applications, the relevant sensor node's location information is crucial in determining where the event or situation occurs. Therefore, localization is one of the critical challenges in WSNs. Mobile Anchor Node-Assisted Localization (MANAL) is one of the promising solutions for the localization of statically deployed sensors. The main problem in MANAL is that the path planning of the Mobile Anchor (MA) node should be done so that the network's localization error will be minimal and that all unknown nodes in the network are covered. This paper proposes a new path planning approach called Nested Hexagons Curves (NHexCurves) for MANAL. NHexCurves guarantees that it will receive messages from at least three non-collinear anchors to locate all unknown nodes in the network. The proposed model has been compared to six different path planning schemes in the literature using Accuracy Priority Trilateration (APT) under different evaluation criteria. In these comparisons, first of all, localization errors of the models are compared using some statistical concepts. Secondly, the variation of the localization error according to parameters such as resolution (R) and the standard deviation of noise (σ) is observed. Then, with similar approaches, the standard deviation of errors, localization ratio, scalability performances, and path lengths of the models are examined. The simulation results present the advantages of the proposed NHexCurves algorithm over other similar algorithms.

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Literatur
1.
Zurück zum Zitat Zhou, Y.; Fang, Y.; Zhang, Y.: Securing wireless sensor networks: a survey. IEEE Commun. Surv. Tutorials 10(3), 6–28 (2008)CrossRef Zhou, Y.; Fang, Y.; Zhang, Y.: Securing wireless sensor networks: a survey. IEEE Commun. Surv. Tutorials 10(3), 6–28 (2008)CrossRef
2.
Zurück zum Zitat Yick, J.; Mukherjee, B.; Ghosal, D.: Wireless sensor network survey. Comp. Net. 52(12), 2292–2330 (2008)CrossRef Yick, J.; Mukherjee, B.; Ghosal, D.: Wireless sensor network survey. Comp. Net. 52(12), 2292–2330 (2008)CrossRef
3.
Zurück zum Zitat Cheng, L.; Wu, C.; Zhang, Y.; Wu, H.; Li, M.; Maple, C.: A survey of localization in wireless sensor network. Int. J. Distrib. Sens. Net. 8(12), 962523 (2012)CrossRef Cheng, L.; Wu, C.; Zhang, Y.; Wu, H.; Li, M.; Maple, C.: A survey of localization in wireless sensor network. Int. J. Distrib. Sens. Net. 8(12), 962523 (2012)CrossRef
4.
Zurück zum Zitat Chowdhury, T.J.; Elkin, C.; Devabhaktuni, V.; Rawat, D.B.; Oluoch, J.: Advances on localization techniques for wireless sensor networks: a survey. Comput. Netw. 110, 284–305 (2016)CrossRef Chowdhury, T.J.; Elkin, C.; Devabhaktuni, V.; Rawat, D.B.; Oluoch, J.: Advances on localization techniques for wireless sensor networks: a survey. Comput. Netw. 110, 284–305 (2016)CrossRef
5.
Zurück zum Zitat Moradi, M.; Rezazadeh, J.; Ismail, A.S.: A reverse localization scheme for underwater acoustic sensor networks. Sensors 12(4), 4352–4380 (2012)CrossRef Moradi, M.; Rezazadeh, J.; Ismail, A.S.: A reverse localization scheme for underwater acoustic sensor networks. Sensors 12(4), 4352–4380 (2012)CrossRef
6.
Zurück zum Zitat Mondal, K.; Karmakar, A.; Mandal, P.S.: Path planning algorithms for mobile anchors towards range-free localization. J. Parallel Distrib. Comp. 97, 35–46 (2016)CrossRef Mondal, K.; Karmakar, A.; Mandal, P.S.: Path planning algorithms for mobile anchors towards range-free localization. J. Parallel Distrib. Comp. 97, 35–46 (2016)CrossRef
7.
Zurück zum Zitat Mekelleche, F.; Haffaf, H.: Classification and comparison of range-based localization techniques in wireless sensor networks. J. Commun. 12(4), 221–227 (2017) Mekelleche, F.; Haffaf, H.: Classification and comparison of range-based localization techniques in wireless sensor networks. J. Commun. 12(4), 221–227 (2017)
8.
Zurück zum Zitat Nemer, I.; Sheltami, T.; Shakshuki, E.; Elkhail, A.A.; Adam, M.: Performance evaluation of range-free localization algorithms for wireless sensor networks. Pers. Ubiquit. Comput. 25, 177–203 (2021)CrossRef Nemer, I.; Sheltami, T.; Shakshuki, E.; Elkhail, A.A.; Adam, M.: Performance evaluation of range-free localization algorithms for wireless sensor networks. Pers. Ubiquit. Comput. 25, 177–203 (2021)CrossRef
9.
Zurück zum Zitat Han, G.; Jiang, J.; Zhang, C.; Duong, T.Q.; Guizani, M.; Karagiannidis, G.K.: A survey on mobile anchor node assisted localization in wireless sensor networks. IEEE Commun. Surv. Tutorials 18(3), 2220–2243 (2016)CrossRef Han, G.; Jiang, J.; Zhang, C.; Duong, T.Q.; Guizani, M.; Karagiannidis, G.K.: A survey on mobile anchor node assisted localization in wireless sensor networks. IEEE Commun. Surv. Tutorials 18(3), 2220–2243 (2016)CrossRef
10.
Zurück zum Zitat Alomari, A.; Comeau, F.; Phillips, W.; Aslam, N.: New path planning model for mobile anchor-assisted localization in wireless sensor networks. Wireless Netw. 24(7), 2589–2607 (2018)CrossRef Alomari, A.; Comeau, F.; Phillips, W.; Aslam, N.: New path planning model for mobile anchor-assisted localization in wireless sensor networks. Wireless Netw. 24(7), 2589–2607 (2018)CrossRef
11.
Zurück zum Zitat Rezazadeh, J.; Moradi, M.; Ismail, A.S.; Dutkiewicz, E.: Impact of static trajectories on localization in wireless sensor networks. Wireless Netw. 21(3), 809–827 (2015)CrossRef Rezazadeh, J.; Moradi, M.; Ismail, A.S.; Dutkiewicz, E.: Impact of static trajectories on localization in wireless sensor networks. Wireless Netw. 21(3), 809–827 (2015)CrossRef
12.
Zurück zum Zitat Johnson, D.B.; Maltz, D.A.: Dynamic source routing in ad hoc wireless networks. In: Imielinski, T.; Korth, H.F. (Eds.) Mobile computing. Springer, MA (1996) Johnson, D.B.; Maltz, D.A.: Dynamic source routing in ad hoc wireless networks. In: Imielinski, T.; Korth, H.F. (Eds.) Mobile computing. Springer, MA (1996)
13.
Zurück zum Zitat Koutsonikolas, D.; Das, S.M.; Hu, Y.C.: Path planning of mobile landmarks for localization in wireless sensor networks. Comput. Commun. 30(13), 2577–2592 (2007)CrossRef Koutsonikolas, D.; Das, S.M.; Hu, Y.C.: Path planning of mobile landmarks for localization in wireless sensor networks. Comput. Commun. 30(13), 2577–2592 (2007)CrossRef
14.
Zurück zum Zitat Han, G.; Xu, H.; Jiang, J.; Shu, L.; Hara, T.; Nishio, S.: Path planning using a mobile anchor node based on trilateration in wireless sensor networks. Wirel. Commun. Mob. Comput. 13(14), 1324–1336 (2013)CrossRef Han, G.; Xu, H.; Jiang, J.; Shu, L.; Hara, T.; Nishio, S.: Path planning using a mobile anchor node based on trilateration in wireless sensor networks. Wirel. Commun. Mob. Comput. 13(14), 1324–1336 (2013)CrossRef
15.
Zurück zum Zitat Rezazadeh, J.; Moradi, M.; Ismail, A.S.; Dutkiewicz, E.: Superior path planning mechanism for mobile beacon-assisted localization in wireless sensor networks. IEEE Sens. J. 14(9), 3052–3064 (2014)CrossRef Rezazadeh, J.; Moradi, M.; Ismail, A.S.; Dutkiewicz, E.: Superior path planning mechanism for mobile beacon-assisted localization in wireless sensor networks. IEEE Sens. J. 14(9), 3052–3064 (2014)CrossRef
16.
Zurück zum Zitat Kannadasan, K.; Edla, D.R.; Kongara, M.C.; Kuppili, V.: M-curves path planning model for mobile anchor node and localization of sensor nodes using dolphin swarm algorithm. Wireless Netw. 26(4), 2769–2783 (2020)CrossRef Kannadasan, K.; Edla, D.R.; Kongara, M.C.; Kuppili, V.: M-curves path planning model for mobile anchor node and localization of sensor nodes using dolphin swarm algorithm. Wireless Netw. 26(4), 2769–2783 (2020)CrossRef
17.
Zurück zum Zitat Li, S.; Kong, X.; Lowe, D.: Dynamic path determination of mobile beacons employing reinforcement learning for wireless sensor localization. In: 2012 26th International Conference on Advanced Information Networking and Applications Workshops, 2012. IEEE, pp 760–765 Li, S.; Kong, X.; Lowe, D.: Dynamic path determination of mobile beacons employing reinforcement learning for wireless sensor localization. In: 2012 26th International Conference on Advanced Information Networking and Applications Workshops, 2012. IEEE, pp 760–765
18.
Zurück zum Zitat Zafar, S.; Bashir, A.; Chaudhry, S.A.: Mobility-aware hierarchical clustering in mobile wireless sensor networks. IEEE Access 7, 20394–20403 (2019)CrossRef Zafar, S.; Bashir, A.; Chaudhry, S.A.: Mobility-aware hierarchical clustering in mobile wireless sensor networks. IEEE Access 7, 20394–20403 (2019)CrossRef
19.
Zurück zum Zitat Lin, Y.; Tao, H.; Tu, Y.; Liu, T.: A node self-localization algorithm with a mobile anchor node in underwater acoustic sensor networks. IEEE Access 7, 43773–43780 (2019)CrossRef Lin, Y.; Tao, H.; Tu, Y.; Liu, T.: A node self-localization algorithm with a mobile anchor node in underwater acoustic sensor networks. IEEE Access 7, 43773–43780 (2019)CrossRef
20.
Zurück zum Zitat Han, G.; Chao, J.; Zhang, C.; Shu, L.; Li, Q.: The impacts of mobility models on DV-hop based localization in mobile wireless sensor networks. J. Netw. Comput. Appl. 42, 70–79 (2014)CrossRef Han, G.; Chao, J.; Zhang, C.; Shu, L.; Li, Q.: The impacts of mobility models on DV-hop based localization in mobile wireless sensor networks. J. Netw. Comput. Appl. 42, 70–79 (2014)CrossRef
21.
Zurück zum Zitat Li, H.; Wang, J.; Li, X.; Ma, H.: Real-time path planning of mobile anchor node in localization for wireless sensor networks. In: 2008 International conference on information and automation, 2008. IEEE, pp 384–389 Li, H.; Wang, J.; Li, X.; Ma, H.: Real-time path planning of mobile anchor node in localization for wireless sensor networks. In: 2008 International conference on information and automation, 2008. IEEE, pp 384–389
22.
Zurück zum Zitat Li, X.; Mitton, N.; Simplot-Ryl, I: Simplot-Ryl D Mobile-beacon assisted sensor localization with dynamic beacon mobility scheduling. In: 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems, IEEE, pp 490–499 (2011) Li, X.; Mitton, N.; Simplot-Ryl, I: Simplot-Ryl D Mobile-beacon assisted sensor localization with dynamic beacon mobility scheduling. In: 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems, IEEE, pp 490–499 (2011)
23.
Zurück zum Zitat Chen, D.; Li, S.; Wu, Q.: A novel supertwisting zeroing neural network with application to mobile robot manipulators. IEEE Trans. Neural Networks Learn. Sys. 32(4), 1776–1787 (2020)MathSciNetCrossRef Chen, D.; Li, S.; Wu, Q.: A novel supertwisting zeroing neural network with application to mobile robot manipulators. IEEE Trans. Neural Networks Learn. Sys. 32(4), 1776–1787 (2020)MathSciNetCrossRef
24.
Zurück zum Zitat Wu, Q.; Chen, Z.; Wang, L.; Lin, H.; Jiang, Z.; Li, S.; Chen, D.: Real-time dynamic path planning of mobile robots: a novel hybrid heuristic optimization algorithm. Sensors 20(1), 188 (2020)CrossRef Wu, Q.; Chen, Z.; Wang, L.; Lin, H.; Jiang, Z.; Li, S.; Chen, D.: Real-time dynamic path planning of mobile robots: a novel hybrid heuristic optimization algorithm. Sensors 20(1), 188 (2020)CrossRef
25.
Zurück zum Zitat Peng, Z.; Wang, J.; Han, Q.-L.: Path-following control of autonomous underwater vehicles subject to velocity and input constraints via neurodynamic optimization. IEEE Trans. Industr. Electron. 66(11), 8724–8732 (2018)CrossRef Peng, Z.; Wang, J.; Han, Q.-L.: Path-following control of autonomous underwater vehicles subject to velocity and input constraints via neurodynamic optimization. IEEE Trans. Industr. Electron. 66(11), 8724–8732 (2018)CrossRef
26.
Zurück zum Zitat Hu, X.; Chen, L.; Tang, B.; Cao, D.; He, H.: Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles. Mech. Syst. Signal Process. 100, 482–500 (2018)CrossRef Hu, X.; Chen, L.; Tang, B.; Cao, D.; He, H.: Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles. Mech. Syst. Signal Process. 100, 482–500 (2018)CrossRef
27.
Zurück zum Zitat Kumar, D.P.; Amgoth, T.; Annavarapu, C.S.R.: Machine learning algorithms for wireless sensor networks: A survey. Inform. Fus. 49, 1–25 (2019)CrossRef Kumar, D.P.; Amgoth, T.; Annavarapu, C.S.R.: Machine learning algorithms for wireless sensor networks: A survey. Inform. Fus. 49, 1–25 (2019)CrossRef
28.
Zurück zum Zitat Abdulqader Hussein, A.; Rahman, T.A.; Leow, C.Y.: Performance evaluation of localization accuracy for a log-normal shadow fading wireless sensor network under physical barrier attacks. Sensors 15(12), 30545–30570 (2015)CrossRef Abdulqader Hussein, A.; Rahman, T.A.; Leow, C.Y.: Performance evaluation of localization accuracy for a log-normal shadow fading wireless sensor network under physical barrier attacks. Sensors 15(12), 30545–30570 (2015)CrossRef
29.
Zurück zum Zitat Blumenthal, J.; Grossmann, R.; Golatowski, F.; Timmermann, D.: Weighted centroid localization in zigbee-based sensor networks. In: 2007 IEEE international symposium on intelligent signal processing, IEEE, pp 1–6 (2007) Blumenthal, J.; Grossmann, R.; Golatowski, F.; Timmermann, D.: Weighted centroid localization in zigbee-based sensor networks. In: 2007 IEEE international symposium on intelligent signal processing, IEEE, pp 1–6 (2007)
30.
Zurück zum Zitat Dezfouli, B.; Radi, M.; Abd Razak, S.; Hwee-Pink, T.; Bakar, K.A.: Modeling low-power wireless communications. J. Netw. Comput. Appl. 51, 102–126 (2015)CrossRef Dezfouli, B.; Radi, M.; Abd Razak, S.; Hwee-Pink, T.; Bakar, K.A.: Modeling low-power wireless communications. J. Netw. Comput. Appl. 51, 102–126 (2015)CrossRef
31.
Zurück zum Zitat Zamalloa, M.Z.; Krishnamachari, B.: An analysis of unreliability and asymmetry in low-power wireless links. ACM Trans Sensor Net TOSN, 3(2):7-es (2007) Zamalloa, M.Z.; Krishnamachari, B.: An analysis of unreliability and asymmetry in low-power wireless links. ACM Trans Sensor Net TOSN, 3(2):7-es (2007)
32.
Zurück zum Zitat Chipcon D TX, USA, CC1000 Low Power Radio Transceiver Chipcon D TX, USA, CC1000 Low Power Radio Transceiver
33.
Zurück zum Zitat Rappaport, T.S.: Wireless communications: principles and practice, vol 2. prentice hall PTR New Jersey (1996) Rappaport, T.S.: Wireless communications: principles and practice, vol 2. prentice hall PTR New Jersey (1996)
34.
Zurück zum Zitat Srinivasan, K.; Dutta, P.; Tavakoli, A.; Levis, P.: An empirical study of low-power wireless. ACM Trans Sensor Networks (TOSN) 6(2), 1–49 (2010)CrossRef Srinivasan, K.; Dutta, P.; Tavakoli, A.; Levis, P.: An empirical study of low-power wireless. ACM Trans Sensor Networks (TOSN) 6(2), 1–49 (2010)CrossRef
35.
Zurück zum Zitat Committee LMS Part 15.4: wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks (LR-WPANs). IEEE Computer Society (2003) Committee LMS Part 15.4: wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks (LR-WPANs). IEEE Computer Society (2003)
36.
Zurück zum Zitat Park, P.; Di Marco, P.; Soldati, P.; Fischione, C.: Johansson KH A generalized Markov chain model for effective analysis of slotted IEEE 802.15. 4. In: 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, IEEE, pp 130–139 (2009) Park, P.; Di Marco, P.; Soldati, P.; Fischione, C.: Johansson KH A generalized Markov chain model for effective analysis of slotted IEEE 802.15. 4. In: 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, IEEE, pp 130–139 (2009)
37.
Zurück zum Zitat Koubâa A, Alves M, Tovar E (2006) IEEE 802.15. 4: a federating communication protocol for time-sensitive wireless sensor networks. Sensor Networks and Configurations: Fundamentals, Techniques, Platforms, and Experiments:19–49 Koubâa A, Alves M, Tovar E (2006) IEEE 802.15. 4: a federating communication protocol for time-sensitive wireless sensor networks. Sensor Networks and Configurations: Fundamentals, Techniques, Platforms, and Experiments:19–49
38.
Zurück zum Zitat Alomari, A.; Phillips, W.; Aslam, N., Comeau, F.: Dynamic fuzzy-logic based path planning for mobility-assisted localization in wireless sensor networks. Sensors, 17(8):1904 (2017) Alomari, A.; Phillips, W.; Aslam, N., Comeau, F.: Dynamic fuzzy-logic based path planning for mobility-assisted localization in wireless sensor networks. Sensors, 17(8):1904 (2017)
39.
Zurück zum Zitat Chen, H.; Shi, Q.; Tan, R.; Poor, H.V.; Sezaki, K.: Mobile element assisted cooperative localization for wireless sensor networks with obstacles. IEEE Trans. Wireless Commun. 9(3), 956–963 (2010)CrossRef Chen, H.; Shi, Q.; Tan, R.; Poor, H.V.; Sezaki, K.: Mobile element assisted cooperative localization for wireless sensor networks with obstacles. IEEE Trans. Wireless Commun. 9(3), 956–963 (2010)CrossRef
Metadaten
Titel
A Novel Path Planning Model Based on Nested Regular Hexagons for Mobile Anchor-Assisted Localization in Wireless Sensor Networks
verfasst von
Serap Karagol
Dogan Yildiz
Publikationsdatum
04.01.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 8/2022
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-021-06374-0

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