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- Vol. 7 Issue 2
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A Survey on Coverage Enhancement Strategies in WSN
Authors
1 P.G. Student, Department of Computer Science Engineering, Sat Kabir Institute of Technology and Management, Haryana, India. 2 Assistant Professor, Sat Kabir Institute of Technology and Management, Haryana, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 7, Issue 2 (2026)
- Published Online
- March-April 2026
- Pages
- 390-395
- Article Type
- Original Article
- Check for updates
- No DOI available for cross-reference
References
1. A. Vatankhah and S. Babaie, “An optimized bidding-based coverage improvement algorithm for hybrid wireless sensor networks,”
Comput. Electr. Eng., vol. 65, pp. 1–17, 2018.
2. O. Berman, Z. Drezner, and D. Krass, “Cooperative cover location problems: the planar case,” IIE Trans., vol. 42, no. 3, pp. 232–246,
2009.
3. D. K. Chaudhary and R. L. Dua, “Application of multi-objective particle swarm optimization to maximize coverage and lifetime of
wireless sensor network,” Int. J. Comput. Eng. Res, vol. 2, no. 5, pp. 1628–1633, 2012.
4. A. Vatankhah and S. Babaie, “An optimized bidding-based coverage improvement algorithm for hybrid wireless sensor networks,”
Comput. Electr. Eng., vol. 65, pp. 1–17, 2018.
5. Zhao, L.H., Liu, W., Lei, H., Zhang, R. and Tan, Q., 2016. Detecting boundary nodes and coverage holes in wireless sensor
networks. Mobile information systems, 2016(1), p.8310296.
6. Kang, Z., Yu, H. and Xiong, Q., 2013. Detection and recovery of coverage holes in wireless sensor networks. Journal of
Networks, 8(4), p.822.
7. Zygowski, C. and Jaekel, A., 2020. Optimal path planning strategies for monitoring coverage holes in Wireless Sensor Networks. Ad
Hoc Networks, 96, p.101990.
8. Wang, F. and Hu, H., 2021. Coverage hole detection method of wireless sensor network based on clustering
algorithm. Measurement, 179, p.109449.
9. Koriem, S.M. and Bayoumi, M.A., 2020. Detecting and measuring holes in wireless sensor network. Journal of King Saud University-
Computer and Information Sciences, 32(8), pp.909-916.
10. Jain, J.K., 2020. A coherent approach for dynamic cluster-based routing and coverage hole detection and recovery in bi-layered WSN-
IoT. Wireless Personal Communications, 114(1), pp.519-543.
11. Li, W. and Wu, Y., 2016. Tree-based coverage hole detection and healing method in wireless sensor networks. Computer
networks, 103, pp.33-43.
12. Dhanapala, D.C. and Jayasumana, A.P., 2013. Topology preserving maps—Extracting layout maps of wireless sensor networks from
virtual coordinates. Ieee/Acm Transactions On Networking, 22(3), pp.784-797.
13. Sharma, P. and Singh, R.P., 2022. Coverage hole identification & healing in wireless underground sensor networks. Measurement:
Sensors, 24, p.100540.
14. Dash, S., Nayak, B.P., Mishra, B.S.P. and Swain, A.R., 2017, January. Randomized grid-based approach for complete area coverage
in WSN. In 2017 IEEE 7th International Advance Computing Conference (IACC) (pp. 307-312). IEEE.
15. Chen, H., Wu, H. and Tzeng, N.F., 2004, June. Grid-based approach for working node selection in wireless sensor networks. In 2004
IEEE international conference on communications (IEEE Cat. No. 04CH37577) (Vol. 6, pp. 3673-3678). IEEE.
16. Takahara, G., Xu, K. and Hassanein, H., 2007, June. Efficient coverage planning for grid-based wireless sensor networks. In 2007
IEEE International Conference on Communications (pp. 3522-3526). IEEE.
17. Zulfiqar, R., Javid, T., Ali, Z.A. and Uddin, V., 2023. Novel metaheuristic routing algorithm with optimized energy and enhanced
coverage for WSNs. Ad Hoc Networks, 144, p.103133.
18. Wang, Z., Tian, L., Wu, W., Lin, L., Li, Z. and Tong, Y., 2022. A metaheuristic algorithm for coverage enhancement of wireless sensor
networks. Wireless Communications and Mobile Computing, 2022(1), p.7732989.
19. Tsai, C.W., Tsai, P.W., Pan, J.S. and Chao, H.C., 2015. Metaheuristics for the deployment problem of WSN: A
review. Microprocessors and Microsystems, 39(8), pp.1305-1317
Comput. Electr. Eng., vol. 65, pp. 1–17, 2018.
2. O. Berman, Z. Drezner, and D. Krass, “Cooperative cover location problems: the planar case,” IIE Trans., vol. 42, no. 3, pp. 232–246,
2009.
3. D. K. Chaudhary and R. L. Dua, “Application of multi-objective particle swarm optimization to maximize coverage and lifetime of
wireless sensor network,” Int. J. Comput. Eng. Res, vol. 2, no. 5, pp. 1628–1633, 2012.
4. A. Vatankhah and S. Babaie, “An optimized bidding-based coverage improvement algorithm for hybrid wireless sensor networks,”
Comput. Electr. Eng., vol. 65, pp. 1–17, 2018.
5. Zhao, L.H., Liu, W., Lei, H., Zhang, R. and Tan, Q., 2016. Detecting boundary nodes and coverage holes in wireless sensor
networks. Mobile information systems, 2016(1), p.8310296.
6. Kang, Z., Yu, H. and Xiong, Q., 2013. Detection and recovery of coverage holes in wireless sensor networks. Journal of
Networks, 8(4), p.822.
7. Zygowski, C. and Jaekel, A., 2020. Optimal path planning strategies for monitoring coverage holes in Wireless Sensor Networks. Ad
Hoc Networks, 96, p.101990.
8. Wang, F. and Hu, H., 2021. Coverage hole detection method of wireless sensor network based on clustering
algorithm. Measurement, 179, p.109449.
9. Koriem, S.M. and Bayoumi, M.A., 2020. Detecting and measuring holes in wireless sensor network. Journal of King Saud University-
Computer and Information Sciences, 32(8), pp.909-916.
10. Jain, J.K., 2020. A coherent approach for dynamic cluster-based routing and coverage hole detection and recovery in bi-layered WSN-
IoT. Wireless Personal Communications, 114(1), pp.519-543.
11. Li, W. and Wu, Y., 2016. Tree-based coverage hole detection and healing method in wireless sensor networks. Computer
networks, 103, pp.33-43.
12. Dhanapala, D.C. and Jayasumana, A.P., 2013. Topology preserving maps—Extracting layout maps of wireless sensor networks from
virtual coordinates. Ieee/Acm Transactions On Networking, 22(3), pp.784-797.
13. Sharma, P. and Singh, R.P., 2022. Coverage hole identification & healing in wireless underground sensor networks. Measurement:
Sensors, 24, p.100540.
14. Dash, S., Nayak, B.P., Mishra, B.S.P. and Swain, A.R., 2017, January. Randomized grid-based approach for complete area coverage
in WSN. In 2017 IEEE 7th International Advance Computing Conference (IACC) (pp. 307-312). IEEE.
15. Chen, H., Wu, H. and Tzeng, N.F., 2004, June. Grid-based approach for working node selection in wireless sensor networks. In 2004
IEEE international conference on communications (IEEE Cat. No. 04CH37577) (Vol. 6, pp. 3673-3678). IEEE.
16. Takahara, G., Xu, K. and Hassanein, H., 2007, June. Efficient coverage planning for grid-based wireless sensor networks. In 2007
IEEE International Conference on Communications (pp. 3522-3526). IEEE.
17. Zulfiqar, R., Javid, T., Ali, Z.A. and Uddin, V., 2023. Novel metaheuristic routing algorithm with optimized energy and enhanced
coverage for WSNs. Ad Hoc Networks, 144, p.103133.
18. Wang, Z., Tian, L., Wu, W., Lin, L., Li, Z. and Tong, Y., 2022. A metaheuristic algorithm for coverage enhancement of wireless sensor
networks. Wireless Communications and Mobile Computing, 2022(1), p.7732989.
19. Tsai, C.W., Tsai, P.W., Pan, J.S. and Chao, H.C., 2015. Metaheuristics for the deployment problem of WSN: A
review. Microprocessors and Microsystems, 39(8), pp.1305-1317
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