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Sensor Architecture and Routing Algorithm for Surveillance of International Border Using Linear Wireless Sensor Network

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Abstract

Conventionally, the countries viewed the integrity of physical international border as a very challenging task. As, with theincreasing risks of terrorist activity, illegal transportation of peoples, weapons and drugs, the countries face unrivaled challenges in securing their borders efficiently. To cater these challengesvariousconformist approaches were formed in the recent past. However, all such approaches require a thorough manual intervention and high maintenance costs. This advocated to use new technologies which can decrease the maintenance costs and increase the performance of the border surveillance system. Recently Linear Wireless Sensor Networks (LWSN) have attracted the researcher due to the type of topology used in LWSN for the security of linear structures. As the international borders are also linear in nature, so the LWSN could be a best option for the security of these borders. In the era of wireless technologies, energy consumption and data security are the most challenging tasks. This works reveals the minimization of the energy consumption rate on the constrained sensor nodes and, ensuring the privacy of the shared data. Recently, Zone Based Routing Protocol (ZRP) have emerged as one of the efficient routing protocols to improve energy consumption and packet delivery ratio. The efficacy of this work demonstrates the applicability of the A* algorithm with a base of ZRP that enhances the communication flow, packet delivery ratio and energy consumption rate. The results obtained after the simulation done on NS2 on time duration from 0 to 60 s, have shown better performance (08–10%) of the proposed approach when compared to the state of art approaches for all the parameters namely communication overhead, packet delivery ratio and average energy consumption.

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References

  1. Hammoudeh, M., Al-Fayez, F., Lloyd, H., Newman, R., Adebisi, B., Bounceur, A., & Abuarqoub, A. (2017). A wireless sensor network border monitoring system: Deployment issues and routing protocols.". IEEE Sensors Journal, 17, 2572–2582.

    Article  Google Scholar 

  2. Athmani, S., Djallel Eddine, B., Azeddine, B. (2013) Hierarchical energy efficient intrusion detection system for black hole attacks in WSNs." In 2013 World Congress on Computer and Information Technology (WCCIT), pp. 1–5. IEEE

  3. Bagyaveereswaran, V., Mathur, T. D., Gupta, S., & Arulmozhivarman, P. (2016). Performance comparison of next generation controller and MPC in real time for a SISO process with low cost DAQ unit. Alexandria Engineering Journal, 55(3), 2515–2524.

    Article  Google Scholar 

  4. Kavidha, V., & Ananthakumaran, S. (2019). Novel energy-efficient secure routing protocol for wireless sensor networks with Mobile sink. Peer-to-Peer Networking and Applications, 12(4), 881–892.

    Article  Google Scholar 

  5. Singh, S. (2020) An energy aware clustering and data gathering technique based on nature inspired optimization in WSNs." Peer-to-Peer Networking and Applications: 1–18.

  6. Bejaoui, C., Alexandre, G., Abdennaceur, K. (2015) Improved election of cluster heads in LEACH." In 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA), pp. 1–4. IEEE

  7. Butun, I., Morgera, S. D., & Sankar, R. (2013). A survey of intrusion detection systems in wireless sensor networks. IEEE communications surveys & tutorials, 16(1), 266–282.

    Article  Google Scholar 

  8. Kumaramangalam, M.V., Kandasamy, A., Chandrasekaran, K. (2014) Zone-based routing protocol for wireless sensor networks." International Scholarly Research Notices 

  9. Ghosh, K., Sarmistha, N., Das, P. K., & Mahima, M. (2018). Intrusion detection at international borders and large military barracks with multi-sink wireless sensor networks: an energy efficient solution.". Wireless Personal Communications, 98, 1083–1101.

    Article  Google Scholar 

  10. Arfaoui, I., & Noureddine, B. (2019). A border surveillance system using WSN under various environment characteristics.". International Journal of Sensor Networks, 30, 263–278.

    Article  Google Scholar 

  11. Nasser, N., Al-Yatama, A., & Saleh, K. (2013). Zone-based routing protocol with mobility consideration for wireless sensor networks. Telecommunication Systems, 52(4), 2541–2560.

    Article  Google Scholar 

  12. Sharawi, M., Emary, E., Saroit, I.A. and El-Mahdy, H., (2015). "WSN's energy-aware coverage preserving optimization model based on multi-objective bat algorithm." In 2015 IEEE Congress on Evolutionary Computation (CEC), pp. 472–479. IEEE

  13. Benzerbadj, A., Bouabdellah, K., Ahcène, B., & Mohammad, H. (2018). Surveillance of sensitive fenced areas using duty-cycled wireless sensor networks with asymmetrical links.". Journal of Network and Computer Applications, 112, 41–52.

    Article  Google Scholar 

  14. Clausen, T., Philippe, J, eds. "RFC3626: Optimized link state routing protocol (OLSR)." (2003).

  15. Pitchai, R., Reshma, G., & Raja, J. (2020). An efficient packet image transmission based on texture content for border side security using sensor networks. International Journal of Computer Aided Engineering and Technology, 13(1–2), 63–72.

    Article  Google Scholar 

  16. Kong, J. H., Ang, L. M., & Seng, K. P. (2015). A comprehensive survey of modern symmetric cryptographic solutions for resource constrained environments. Journal of Network and Computer Applications, 49, 15–50.

    Article  Google Scholar 

  17. Akbaş, M. İ, & Turgut, D. (2013). Lightweight routing with dynamic interests in wireless sensor and actor networks.". Ad Hoc Networks, 8, 2313–2328.

    Article  Google Scholar 

  18. Varshney, S., Kumar, C., Swaroop, A., Khanna, A., Gupta, D., Rodrigues, J. J., & De Albuquerque, V. H. C. (2018). Energy efficient management of pipelines in buildings using linear wireless sensor networks.". Sensors, 18, 2618.

    Article  Google Scholar 

  19. Mutlag, A. A., Mohd Khanapi, A. G., Arunkumar, N., Mazin Abed, M., & Othman, M. (2019). Enabling technologies for fog computing in healthcare IoT systems.". Future Generation Computer Systems, 90, 62–78.

    Article  Google Scholar 

  20. Zheng, Yi., Yuwen, W., Zhenzhen, L., Li, D., Yu, J., Hong, Z. (2014) A mobility and load aware OLSR routing protocol for UAV mobile ad-hoc networks. : 1–019.

  21. Brahmbhatt, S., Aishwary, K., Gaurav, S. (2015) SSLSM: signal strength based link stability estimation in MANETs." In 2015 International Conference on Computational Intelligence and Communication Networks (CICN), pp. 173–177. IEEE, 2015.

  22. Tang, B., Jin, W., Xuehua, G., Yuhui, Z., & Jeong-Uk, K. (2012). A novel data retrieving mechanism in wireless sensor networks with path-limited mobile sink. J. Grid Distrib. Comput, 5, 133–140.

    Google Scholar 

  23. Dhamdhere, S. D., Guru, S. K., & Pune, C. D. (2014). Robust data collection in wireless sensor networks with mobile sinks. J. Comput. Sci. Inf. Technol, 5, 4999–5002.

    Google Scholar 

  24. Mitra, R., & Sharma, S. (2018). Proactive data routing using controlled mobility of a mobile sink in wireless sensor networks. Computers & Electrical Engineering, 70, 21–36.

    Article  Google Scholar 

  25. Vahabi, S., Mohammadreza, E., & Seyed Ebrahim, D. (2019). Integration of geographic and hierarchical routing protocols for energy saving in wireless sensor networks with mobile sink.". Wireless Networks, 25, 2953–2961.

    Article  Google Scholar 

  26. Gallegos, A., Taku, N., Tomoko, I., Yoshio, N. (2016) Simulation study of maximum amount shortest path routing in wireless sensor networks using ns-3." In 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN), pp. 198–204. IEEE

  27. Gallegos, A., Noguchi, T., Izumi, T., & Nakatani, Y. (2018). Zone-based energy aware data collection protocol for WSNs. IEICE Transactions on Communications, 101(3), 750–762.

    Article  Google Scholar 

  28. Hammoudeh, M. (2016) Putting the lab on the map: A wireless sensor network system for border security and surveillance. ACM, pp. 1–1. 2016.

  29. Laouira, Mohammed Lamine, AbdelkrimAbdelli, Jalel Ben Othman, and Hyunbum Kim. "An efficient WSN based solution for border surveillance." IEEE Transactions on Sustainable Computing (2019).

  30. Nikookar, H., and H. Monsuur. (2018). Challenges for cooperative wireless sensor networks in border control applications." In NL ARMS Netherlands Annual Review of Military Studies 2018, pp. 131–142. TMC Asser Press

  31. Mostafaei, H., Chowdhury, M. U., & Obaidat, M. S. (2018). Border surveillance with WSN systems in a distributed manner. IEEE Systems Journal, 12(4), 3703–3712.

    Article  Google Scholar 

  32. Haney, K. (2020) Re-evaluating coverage metrics for wireless sensor network border security applications.

  33. Lessin, A. M., Lunday, B. J., & Hill, R. R. (2019). A multi-objective, bilevel sensor relocation problem for border security. Taylor and Francis IISE Transactions, 51(10), 1091–1109.

    Article  Google Scholar 

  34. Varshney, S., Kumar, C., & Swaroop, A. (2021). Lightning-based lion optimization algorithm for monitoring the pipelines using linear wireless sensor network. Wireless Personal Communications, 117, 2475–2494.

    Article  Google Scholar 

  35. Yang, H (2023) A practical method for connectivity and coverage reliability analysis for linear wireless sensor networks. Ad Hoc Networks: 103183

  36. Varshney, S., Kumar, C., & Swaroop, A. (2022). Pipeline surveillance along the international border using hybrid optimization algorithm." Journal of Ambient Intelligence and Humanized Computing: 1–9.

  37. Yang, H.-B. (2023). Reliability comparison between plain-based and cluster-based linear wireless sensor networks. IEEE Sensors Journal, 23(6), 6303–6311.

    Article  Google Scholar 

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Funding

“The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.”

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Authors and Affiliations

  1. Department of Computer Science and Engineering, IIT, Dhanbad, Jharkhand, 826004, India

    Sudeep Varshney & Chiranjeev Kumar

  2. Department of Computer Science and Engineering, Sharda School of Engineering and Technology, Sharda University Greater Noida, Greater Noida, 201306, India

    Sudeep Varshney

  3. Department of Information andTechnology, BPIT, New Delhi, 110094, India

    Abhishek Swaroop

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  1. Sudeep Varshney
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  2. Chiranjeev Kumar
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  3. Abhishek Swaroop
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“All authors contributed to the study conception, design, preparation and analysis. The first draft of the manuscript was written by all authors. All authors read and approved the final manuscript.”

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Correspondence to Sudeep Varshney.

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Varshney, S., Kumar, C. & Swaroop, A. Sensor Architecture and Routing Algorithm for Surveillance of International Border Using Linear Wireless Sensor Network. Wireless Pers Commun 132, 549–569 (2023). https://doi.org/10.1007/s11277-023-10624-9

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