Abstract
Underwater Wireless Sensor Networks (UWSNs) play a major role in many aquatic applications. Underwater sensors were deployed over a given three-dimensional area. Dynamic and unpredictable nature of the underwater environment is resulting in void communications, interrupting the flow of data to the sink node. Sensor nodes, which are part of void communications are called void nodes, and in multi-hop communication nodes depend on void which are called trap. Any deployed node can become a void or trap not only after their deployment but also during their initial deployment. Most popularly used random deployment strategy in UWSNs always results in the many voids and traps. To countermeasure, the shortfall additional nodes are deployed, which may result in still worse condition. The first objective of this paper is highlighting void and trap node problems in random deployment strategy. In the second objective, we are proposing a systematic way of sensor node deployment that overcomes void and trap problems arising in random deployment in UWSNs. Through the MATLAB simulation drawbacks of random and benefits of systematic deployment strategies are demonstrated using a count of void & trap nodes, volume of the area covered, and count of retained void & traps.
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References
Akyildiz, I.F., Pompili, D., Melodia, T.: Underwater acoustic sensor networks: research challenges. Ad Hoc Netw. 3, 257–279 (2005)
Heidemann, J., Stojanovic, M., Zorzi, M.: Underwater sensor networks: applications, advances and challenges. Philos. Trans. R. Soc. 370(1958), 158–175 (2012)
Akyildiz, I.F., Pompili, D., Melodia, T.: Challenges for efficient communication in underwater acoustic sensor networks. ACM Sigbed Rev. 1(2), 3–8 (2004)
Pompili, D., Melodia, T.: hree-dimensional routing in underwater acoustic sensor networks. In: Proceedings of the 2nd ACM International Workshop on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, pp. 214–221. ACM (2005)
Ghoreyshi, S.D., Shahrabi, A., Boutaleb, T.: Void-handling techniques for routing protocols in underwater sensor networks. Survey and challenges. IEEE Commun. Surv. Tutor. 19(2), 800–827 (2017)
Stojanovic, M., Preisig, J.: Underwater acoustic communication channels: Propagation models and statistical characterization. IEEE Commun. Mag. 47(1), 84–89 (2009)
Partan, J., Kurose, J., Levine, B.N.: A survey of practical issues in underwater networks. ACM SIGMOBILE Mob. Comput. Commun. Rev. 11(4), 23–33 (2007)
Ghoreyshi, S.M., Shahrabi, A., Boutaleb, T.: An underwater routing protocol with void detection and bypassing capability. In: 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA), pp. 530–537. IEEE (2017)
Chiang, T.-C., Chang, J.-L., Tsai, Y.-F., Li, S.-P.: Greedy geographical void routing for wireless sensor networks. In: Proceedings of World Academy of Science, Engineering and Technology, no. 78, p. 1248. World Academy of Science, Engineering and Technology (WASET) (2013)
Ding, Y., Li, N., Song, B., Yang, Y.: The mobile node deployment algorithm for underwater wireless sensor networks. In: 2017 Chinese Automation Congress (CAC), pp. 456–460. IEEE (2017)
Felamban, M., Shihada, B., Jamshaid, K.: Optimal node placement in underwater wireless sensor networks. In: 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA), pp. 492–499. IEEE (2013)
Alam, S.M., Haas, Z.J.: Coverage and connectivity in three-dimensional networks. In: Proceedings of the 12th annual international conference on Mobile computing and networking, pp. 346–357. ACM (2006)
Al-Karaki, J.N., Gawanmeh, A.: The optimal deployment, coverage, and connectivity problems in wireless sensor networks: revisited. IEEE Access 5, 18051–18065 (2017)
Poe, W.Y., Schmitt, J.B.: Node deployment in large wireless sensor networks: coverage, energy consumption, and worst-case delay. In: Asian Internet Engineering Conference, pp. 77–84. ACM (2009)
Pompili, D., Melodia, T., Akyildiz, I.F.: Deployment analysis in underwater acoustic wireless sensor networks. In: Proceedings of the 1st ACM international workshop on Underwater networks, pp. 48–55. ACM (2006)
Coutinho, R.W.L., Boukerche, A., Vieira, L.F.M., Loureiro, A.A.F.: Geographic and opportunistic routing for underwater sensor networks. IEEE Trans. Comput. 65(2), 548–561 (2016)
Coutinho, R.W.L., Boukerche, A., Vieira, L.F.M., Loureiro, A.A.F.: A novel void node recovery paradigm for long-term underwater sensor networks. Ad Hoc Netw. 34, 144–156 (2015)
Kheirabadi, M.T., Mohamad, M.M.: Greedy routing in underwater acoustic sensor networks: a survey. Int. J. Distrib. Sens. Netw. 9(7), 701834 (2013)
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Nazareth, P., Chandavarkar, B.R. (2020). Void Avoidance Node Deployment Strategy for Underwater Sensor Networks. In: Somani, A.K., Shekhawat, R.S., Mundra, A., Srivastava, S., Verma, V.K. (eds) Smart Systems and IoT: Innovations in Computing. Smart Innovation, Systems and Technologies, vol 141. Springer, Singapore. https://doi.org/10.1007/978-981-13-8406-6_47
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DOI: https://doi.org/10.1007/978-981-13-8406-6_47
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