Abstract
The use of unmanned aerial vehicle (UAV) as a relay in wireless sensor networks significantly reduces sensor nodes’ energy consumption as the UAV replaces the multi-hop communication among nodes. As a consequence, the functional lifetime of the network is elongated in exchange for higher data delivery latency. Due to the NP-hardness of the travelling salesman problem (TSP) whose computational complexity increases exponentially as an increment of number of nodes, heuristic algorithms, such as nearest neighbor (NN) heuristic TSP algorithm, have been developed for reducing this data delivery latency in shortest possible time. In this paper, we proposed three efficient algorithms that modify the existing NN algorithm to gain a reduction in the data delivery latency with no significant change in computational time. Analytical and simulation results demonstrated that our proposed algorithms outperform the existing NN algorithm in reducing the data delivery latency, especially for nodes that are densely deployed and having relatively larger transmission ranges.
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References
Lin, C., Xiong, N., Park, J., & Kim, T.-H. (2009). Dynamic power management in new architecture of wireless sensor networks. International Journal of Communication Systems, 22, 671–693.
Charles Lai, B., Hwang, D. D., Pete Kim, S., & Verbauwhede, I. (2004). Reducing radio energy consumption of key management protocols for wireless sensor networks. In Proceedings of the ACM/IEEE International symposium on low power electronics and design (ISLPED) (pp. 351–356).
Cobano, J. A., Martinez-de Dios, J. R., Conde, R., Sanchez-Matamoros, J. M., & Ollero, A. (2010). Data retrieving from heterogeneous wireless sensor network nodes using UAVs. Journal of Intelligent & Robotic Systems, 60(1), 133–151.
de Freitas, E. P., et al. (2010). UAV relay network to support WSN connectivity. In Proceedings of IEEE international congress on ultramodern telecommunications and control systems (ICUMT’10) (pp. 309–314). Moscow.
Tekdas, O., Isler, V., Lim, J., & Terzis, A. (2009). Using mobile robots to harvest data from sensor fields. IEEE Wireless Communications in Robotic Networks, 16, 22–28.
Sugihara, R., & Gupta, R. (2009). Optimizing energy-latency trade-off in sensor networks with controlled mobility. In IEEE INFOCOM (pp. 2566–2570).
Desrochers, M., & Laporte, G. (1991). Improvements and extensions to the Miller–Tucker–Zemlin subtour elimination constraints. Operation Research letters, 10, 27–36. [Elsevier Science Publishers B.V. (North-Holland)].
Gutin, G., & Punnen, A. P. (2002). The traveling salesman problem and its variations (pp. 1–28). New York: Springer.
Papadimitriou, C. H. (1978). Euclidean traveling salesman problem is NP complete. Theoretical Computer Science, 4, 237–244.
Lawler, E. L., Lenstra, J. K., Kan, R. A., & Shmoys, D. B. (1985). The traveling salesman problem: A guided tour of combinatorial optimization. New York: Wiley.
Wu, X., Chen, G., & Das, S. (2008). Avoiding energy holes in wireless sensor networks with non-uniform node distribution. IEEE Transactions on Parallel and Distributed Systems, 19(5), 710–720.
Yuan, B., Orlowska, M., & Sadiq, S. (2007). On the optimal robot routing problem in wireless sensor networks. IEEE Transactions on Knowledge and Data Engineering, 19(9), 1252–1261.
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This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education (2015R1D1A1A01060034).
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Alemayehu, T.S., Kim, JH. Efficient Nearest Neighbor Heuristic TSP Algorithms for Reducing Data Acquisition Latency of UAV Relay WSN. Wireless Pers Commun 95, 3271–3285 (2017). https://doi.org/10.1007/s11277-017-3994-9
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DOI: https://doi.org/10.1007/s11277-017-3994-9