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Effective Coverage of Two-Node Team with Radial Attenuation Models

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Abstract

In this paper, we analyze the properties of effective coverage of the two-node team. Radial attenuation disk model is adopted for the individual model of coverage which conforms to the natural characteristics of devices in the real world. For any point in coverage overlapping regions of multiple nodes, based on the superposition principle, its coverage intensity equals the sum of individual coverage intensities, which complies with the collaboration behavior of output (influence) coverage applications. General properties of team’s effective coverage, including its region connectedness, and how it is related to the separation between the two nodes are first studied, followed by numerical analysis and simulations on the relations between nodes optimal separation and three different types of models.

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References

  1. Yen, L.-H., Yu, C.W., Cheng, Y.-M.: Expected k-coverage in wireless sensor networks. Ad. Hoc. Netw.. 4(5), 636–650 (2006). https://doi.org/10.1016/j.adhoc.2005.07.001

    Article  Google Scholar 

  2. Wang, B.: Coverage problems in sensor networks: A survey. ACM Comput. Surv. 434. ISSN 03600300. https://doi.org/10.1145/1978802.1978811 (2011)

  3. Giordano, E.: Outdoor lighting design as a tool for tourist development: the case of valladolid. Eur.. Plan.. Stud.. 26(1), 55–74 (2018)

    Article  Google Scholar 

  4. Bullough, J.D, et al.: Guide for optimizing the effectiveness and the efficiency of roadway lighting. Technical report, Rensselaer Polytechnic Institute. Lighting Research Center. https://rosap.ntl.bts.gov/view/dot/24626 (2012)

  5. City and County of Denver: Standard engineering practice section 4: Roadway lighting design. Technical report. https://www.saskpower.com/-/media/SaskPower/Accounts-and-Services/Service-Requests/Turnkey/Guide-Turnkey-Residential-Streetlight-Design.ashx (2017)

  6. Street lighting design guidelines and details: Technical report, City and County of denver public works department. https://www.denvergov.org/files/assets/public/doti/documents/standards/pwes-012.2-street_lighting_design_guidelines.pdf (2019)

  7. Bishop, J., McKay, H., Parrott, D., Allan, J.: Review of international research literature regarding the effectiveness of auditory bird scaring techniques and potential alternatives. Food and rural affairs, London 10–12 (2003)

  8. Li, S., Li, X., Xing, Z., Zhang, Z., Wang, Y., Li, R., Guo, R., Xie, J.: Intelligent audio bird repeller for transmission line tower based on bird species variation. In: IOP Conference Series: Materials Science and Engineering. https://doi.org/10.1088/1757-899X/592/1/012142, vol. 592, p 012142. IOP Publishing (2019)

  9. Neill, S.: Protect your dog from hawks and other birds of prey. https://thebark.com/content/protect-your-dog-hawks-and-other-birds-preyhttps://thebark.com/content/protect-your-dog-hawks-and-other-birds-prey Online (2020)

  10. Sarasola, J.H., Grande, J.M., Negro, J.J.: Birds of prey: Bbiology and conservation in the XXI century Springer. https://doi.org/10.1007/978-3-319-73745-4 (2018)

  11. Bekure, S., et al.: Maasai herding: an analysis of the livestock production system of Maasai pastoralists in eastern Kajiado District, Kenya, volume 4 ILRI (aka ILCA and ILRAD) (1991)

  12. Radermacher, R.: Robotic personal conditioning device. https://arpa-e.energy.gov/technologies/projects/robotic-personal-conditioning-devicehttps://arpa-e.energy.gov/technologies/projects/robotic-personal-conditioning-devicehttps://arpa-e.energy.gov/technologies/projects/robotic-personal-conditioning-device. University of Maryland (2018)

  13. Khampeerpat, T., Jaikaeo, C.: Mobile sensor relocation for nonuniform and dynamic coverage requirements. IEICE Trans. Inform. Syst. E100D(3), 520–530 (2017). ISSN 09168532. https://doi.org/10.1587/transinf.2016EDP7277

    Article  Google Scholar 

  14. Pejanovic Duriic, M., Tafa, Z., Dimic, G., Milutinovic, V.: A survey of military applications of wireless sensor networks, pp 196–199. Bar, Montenegro (2012)

    Google Scholar 

  15. Cortes, J., Martinez, S., Karatas, T., Bullo, F.: Coverage control for mobile sensing networks. IEEE Trans. Robot. Autom. (USA) 20(2), 243–55 (2004). ISSN 1042-296X. https://doi.org/10.1109/TRA.2004.824698

    Article  Google Scholar 

  16. Liao, Z., Wang, J., Zhang, S., Cao, J., Min, G.: Minimizing movement for target coverage and network connectivity in mobile sensor networks. IEEE Trans. Parallel Distribut. Syst. 26(7), 1971–83 (2015). ISSN 1045-9219. https://doi.org/10.1109/TPDS.2014.2333011

    Article  Google Scholar 

  17. Zhong, M., Cassandras, C.G.: Distributed coverage control and data collection with mobile sensor networks. IEEE Trans. Autom. Control 56(10), 2445–55 (2011). ISSN 0018-9286. https://doi.org/10.1109/TAC.2011.2163860

    Article  MathSciNet  Google Scholar 

  18. Ganganath, N., Cheng, C.-T., Tse, C.K.: Distributed antiflocking algorithms for dynamic coverage of mobile sensor networks. IEEE Trans. Indust. Inform. (USA) 12(5), 1795–805 (2016). ISSN 1551-3203. https://doi.org/10.1109/TII.2016.2519913

    Article  Google Scholar 

  19. Gupta, H.P., Tyagi, P.K., Singh, M.P.: Regular node deployment for k-coverage in m-connected wireless networks. IEEE Sensors J. 15(12), 7126–7134 (2015). ISSN 1530437X. https://doi.org/10.1109/JSEN.2015.2471837

    Article  Google Scholar 

  20. Sakai, K., Sun, M.-T., Ku, W.-S., Lai, T.H, Vasilakos, A.V.: A framework for the optimal k-coverage deployment patterns of wireless sensors. IEEE Sensors J. 15(12), 7273–7283 (2015). ISSN 1530437X. https://doi.org/10.1109/JSEN.2015.2474711

    Article  Google Scholar 

  21. Bai, X., Yun, Z., Xuan, D., Lai, T.H., Jia, W.: Optimal patterns for four-connectivity and full coverage in wireless sensor networks. IEEE Trans. Mob. Comput. 9(3), 435–448 (2010). https://doi.org/10.1109/TMC.2009.143

    Article  Google Scholar 

  22. Yun, Z., Bai, X., Xuan, D., Lai, T.H., Jia, W.: Optimal deployment patterns for full coverage and k-connectivity (k6) wireless sensor networks. IEEE/ACM Trans. Netw. 18(3), 934–947 (2010). ISSN 10636692. https://doi.org/10.1109/TNET.2010.2040191

    Article  Google Scholar 

  23. Zhang, C., Bai, X., Teng, J., Xuan, D., Jia, W.: Constructing low-connectivity and full-coverage three dimensional sensor networks. IEEE J. Select. Areas Commun. 28(7), 984–993 (2010). https://doi.org/10.1109/JSAC.2010.100903

    Article  Google Scholar 

  24. Land, S., Choset, H.: Coverage path planning for Landmine location. In: Third International Symposium on Technology and the Mine Problem. CA, Monterey (1998)

  25. Yang, S.X, Luo, C.: A neural network approach to complete coverage path planning. IEEE Trans. Syst. Man Cybern. Part. B. (Cybernetics) 34(1), 718–724 (2004)

    Article  Google Scholar 

  26. Wang, B., Wang, W., Srinivasan, V., Chua, K.C.: Information coverage for wireless sensor networks. IEEE Commun. Lett. 9(11), 967–969 (2005). ISSN 10897798. https://doi.org/10.1109/LCOMM.2005.11002

    Article  Google Scholar 

  27. Wang, B., Deng, X., Liu, W., Yang, L.T., Chao, H.: Confident information coverage in sensor networks for field reconstruction. IEEE Wireless Commun. 20(6), 74–81 (2013). ISSN 1536-1284. https://doi.org/10.1109/MWC.2013.6704477

    Article  Google Scholar 

  28. Zhu, J., Wang, B.: The optimal placement pattern for confident information coverage in wireless sensor networks. IEEE Trans. Mob. Comput. 15(4), 1022–1032 (2016). https://doi.org/10.1109/TMC.2015.2444397

    Article  Google Scholar 

  29. Sun, K., Qiu, J., Karimi, H.R., Gao, H.: A novel finite-time control for nonstrict feedback saturated nonlinear systems with tracking error constraint. IEEE Transactions on Systems, Man, and Cybernetics Systems. https://doi.org/10.1109/TSMC.2019.2958072 (2019)

  30. Sun, K., Jianbin, Q., Karimi, H.R., Fu, Y.: Event-triggered robust fuzzy adaptive finite-time control of nonlinear systems with prescribed performance. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/TFUZZ.2020.2979129 (2020a)

  31. Sun, K., Liu, L., Qiu, J., Feng, G.: Fuzzy adaptive finite-time fault-tolerant control for strict-feedback nonlinear systems. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/TFUZZ.2020.2965890 (2020b)

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Funding

This study was funded by National University of Singapore.

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Authors and Affiliations

  1. Department of Mechanical Engineering, National University of Singapore, Singapore, Singapore

    Yuán-Ruì Yáng & Peter C. Y. Chen

Authors
  1. Yuán-Ruì Yáng
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  2. Peter C. Y. Chen
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Contributions

All authors contributed to the study conception, design and mathematical derivation. The programming, data collection and analysis, and writing of the first draft were performed by Yuán-Ruì Yáng. The standardization of mathematical derivation process and the improvement of article writing style was performed by Peter C. Y. Chen. All authors read and approved the final manuscript.

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Correspondence to Peter C. Y. Chen.

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Cite this article

Yáng, YR., Chen, P. Effective Coverage of Two-Node Team with Radial Attenuation Models. J Intell Robot Syst 103, 44 (2021). https://doi.org/10.1007/s10846-021-01474-3

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  • DOI: https://doi.org/10.1007/s10846-021-01474-3

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