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Energy Efficient Multi-hop Cooperative Transmission Protocol for Large Scale Mobile Ad hoc Networks

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Abstract

Cooperative Communication (CC) is implemented extensively in mobile Ad hoc networks to leverage the benefits of CC technique. Energy consumption and routing are major challenges for large scale Cooperative Mobile Ad hoc Networks since each node in the network have mobility. To address these challenges, a hybrid multi-hop cooperative routing algorithm is formulated by combining clustering and location-based routing strategies. The main idea of our algorithm is to establish communication between similar mobility nodes to reduce the mobility effect since the link between (approximately) equal mobility nodes was reliable. All the equal mobility nodes are grouped to form a cluster; one of the nodes in this is selected as a cluster head based on its location. Further, we optimize the number of transmitters and receivers in every hop; and an optimal number of cooperative relays are obtained in every hop thereby reducing the end-to-end energy utilization. The evaluation result shows that the proposed algorithm saves energy consumption by up to 53.42% compared to traditional algorithms.

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References

  1. Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C. K., & Zhang, J. (2014). What will 5G Be? IEEE Journal on Selected Areas in Communications, 32, 1065–1082.

    Article  Google Scholar 

  2. Akkaya, K., & Younis, M. (2005). A survey on routing protocols for wireless sensor network. Ad Hoc Network J., 3, 325–349.

    Article  Google Scholar 

  3. Taneja, S., & Kush, A. (2010). A survey of routing protocols in mobile Ad hoc networks. International Journal of Innovation Management and Technology, 1, 279–285.

    Google Scholar 

  4. Xie, K., Cao, J., Wang, X., & Wen, J. (2013). Optimal resource allocation for reliable and energy efficient cooperative communications. IEEE Transactions on Wireless Communications, 12(10), 4994–5007.

    Article  Google Scholar 

  5. Xie, K., Cao, J. N., & Wen, J. G. (2013). Optimal relay assignment and power allocation for cooperative communications. Journal of Computer Science and Technology, 28(2), 343–356.

    Article  Google Scholar 

  6. Group, I.W. (1999). Wireless LAN medium access control (MAC) and physical layer (PHY) specifications - Amendment 1: Highspeed physical layer in 5 ghz band. In IEEE Strandard 802.11, New York, NY.

  7. Lin, T., Wu, K., & Yin, G. (2015). Channel-hopping scheme and channel diverse routing in static multi-radio multi-hop wireless networks. IEEE Transactions on Computers, 64(1), 71–86.

    Article  MathSciNet  Google Scholar 

  8. Arboleda, L.M.C., & Nasser, N. (2006). Comparison of clustering algorithms and protocols for wireless sensor networks, pp. 1787–1792.

  9. Sabor, N., Sasaki, S., Abo-Zahhad, M., et al. (2017). A comprehensive survey on hierarchical-based routing protocols for mobile wireless sensor networks: Review, taxonomy, and future directions. Hindawi Wireless Communications and Mobile Computing, 5, 1–23.

    Google Scholar 

  10. Krunz, M., Muqattash, A., & Lee, S. J. (2004). Transmission power control in wireless ad hoc networks: Challenges, solutions, and open issues. IEEE Network Magazine, 18(5), 8–14.

    Article  Google Scholar 

  11. Chiang, M. (2005). Balancing transport and physical layers in wireless multihop networks: Jointly optimal congestion control and power control. IEEE Journal on Selected Areas in Communications, 23(1), 104–116.

    Article  Google Scholar 

  12. Gomez, J., & Campbell, A. T. (2007). Variable-range transmission power control in wireless ad hoc networks. IEEE Transactions on Mobile Computing, 6(1), 87–99.

    Article  Google Scholar 

  13. Zhang, X., Anpalagan, A., Guo, L., & Khwaja, A.S. (2015). Energy efficient cooperative MAC protocol based on power control in MANETs. In Proceedings of the IEEE 29th International Conference on Advanced Information Networking and Applications (AINA ’15), pp. 48–53.

  14. De-yun, G., Lin-juan, Z., & Hwang-cheng, W. (2011). Energy saving with node sleep and power control mechanisms for wireless sensor networks. The Journal of China Universities of Posts and Telecommunications, 18(1), 49–59.

    Article  Google Scholar 

  15. Wu, S., Tseng, P., & Chou, Z. (2005). Distributed power management protocols for multi-hop mobile Ad Hoc networks. Computer Networks, 47(1), 63–68.

    Article  Google Scholar 

  16. Zheng, R., & Kravets, R. (2005). On-demand power management for ad hoc networks. Ad Hoc Networks, 3(1), 51–68.

    Article  Google Scholar 

  17. Ray, N.K., & Turuk, A.K. (2009). A review on energy efficient MAC protocols for wireless LANs. In Proceedings of the 4th International Conference on Industrial and Information Systems (ICIIS ’09), pp. 137–141.

  18. Toh, C. K. (2001). Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks. IEEE Communications Magazine, 39, 138–147.

    Article  Google Scholar 

  19. Khandani, A. E., Abounadi, J., Modiano, E., & Zheng, L. (2007). Cooperative routing in static wireless networks. IEEE Transactions on Communications, 55, 2185–2192.

    Article  Google Scholar 

  20. Elhawary, M., & Haas, Z. J. (2011). Energy-efficient protocol for cooperative networks. IEEE Transactions on Networking, 19, 561–574.

    Article  Google Scholar 

  21. Li, F., Wu, K., & Lippman, A. (2006). Energy-Efficient Cooperative Routing in Multi-hopWireless Ad Hoc Networks. In Proceedings of the 2006 IEEE International Performance Computing and Communications Conference, Phoenix, AZ, USA, 215–222.

  22. Shi, L., & Fapojuwo, A. O. (2012). Cross-layer optimization with cooperative communication for minimum power cost in packet error rate constrained wireless sensor networks. Ad Hoc Networks, 10, 1457–1468.

    Article  Google Scholar 

  23. Shi, J., Calveras, A., Cheng, Y., & Liu, K. (2013). A novel power efficient location-based cooperative routing with transmission power-upper-limit for wireless sensor networks. Sensors, 13, 6448–6476.

    Article  Google Scholar 

  24. Dehghan, M., Ghaderi, M., & Goeckel, D. (2011). Minimum-energy cooperative routing in wireless networks with channel variations. IEEE Transactions on Wireless Communications, 10, 3813–3823.

    Article  Google Scholar 

  25. Li, X., Tao, X., & Li, Na. (2016). Energy-efficient cooperative MIMO-based random walk routing for wireless sensor networks. IEEE Communications Letters, 20(11), 2280–2283.

    Article  Google Scholar 

  26. Li, P., Guo, S., & Hu, J. (2014). Energy-efficient cooperative communications for multimedia applications in multi-channel wireless networks. IEEE Transactions on Computers, 64(6), 1670–1679.

    MathSciNet  Google Scholar 

  27. Akhtar, A. M., Behnad, A., & Wang, X. (2014). Cooperative ARQ based energy efficient routing in multi-hop wireless networks. IEEE Transactions on Vehicular Technology, 64(11), 5187–5197.

    Article  Google Scholar 

  28. Zheng, L., Liu, J., & Zhai, C. (2011). Energy-efficient cooperative routing algorithm with truncated automatic repeat request over Nakagami-m fading channels. IET Communications, 5(8), 1073–1082.

    Article  Google Scholar 

  29. Gao, Y., Kang, G., & Cheng, J. (2019). An opportunistic cooperative packet transmission scheme in wireless multi-hop networks. In IEEE Wireless Communications and Networking Conference Workshop (WCNCW), pp. 15–18.

  30. Cheng, J., Gao, Y., Zhang, N., & Yang, H. (2019). An energy-efficient two-stage cooperative routing scheme in wireless multi-hop networks. Sensors, 19, 1002.

    Article  Google Scholar 

  31. Asshad, M., Kavak, A., Küçük, K., & Khan, S. A. (2020). Using moment generating function for performance analysis in non-regenerative cooperative relay networks with max-min relay selection. AEU-International Journal of Electronics and Communications, 116, 153066.

    Article  Google Scholar 

  32. Lv, B., Wang, R., Cui, Y., Gong, Y., & Tan, H. (2020). Joint optimization of file placement and delivery in cache-assisted wireless networks with limited lifetime and cache space. arXiv preprint http://arxiv.org/abs/2001.02557.

  33. Gao, Y., Ao, H., Zhou, W., Hu, S., Yu, H., Guo, Y., & Cao, J. (2019). A novel AI based optimization of node selection and information fusion in cooperative wireless networks. In Proceedings of SAI Intelligent Systems Conference, pp. 14–23.

  34. Sadeghzadeh, M., Maleki, M., & Salehi, M. (2019). Large-scale analysis of regularized block diagonalization precoding for physical layer security of multi-user MIMO wireless networks. IEEE Transactions on Vehicular Technology, 68(6), 5820–5834.

    Article  Google Scholar 

  35. Ragheb, M., & Hemami, S. M. S. (2019). Secure transmission in large-scale cooperative millimetre-wave systems with passive eavesdroppers. IET Communications, 14(1), 37–46.

    Article  Google Scholar 

  36. Yao, J., & Xu, J. (2019). Secrecy transmission capacity of large-scale UAV-enabled wireless networks. In 2019 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1–6.

  37. Praveen Kumar, D., Sushanth Babu, M., & Prasad, M.S.G. (2016). Suboptimal comparison of AF and DF relaying for fixed target error probability. In IEEE International Conference on Computer Communication and Informatics, pp. 07–09.

  38. Cui, S., Andrea Goldsmith, J., & Bahai, A. (2004). Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE Journal on Selected Areas in Communications, 22(6), 1089–1098.

    Article  Google Scholar 

  39. Lee, K., & Lee, H. (2014). An energy-efficient cooperative communication method for wireless sensor networks. International Journal of Distributed Sensor Networks, 10(3), 689710.

    Article  Google Scholar 

  40. Lee, K., & Lee, H. (2012). A self-organized and smart-adaptive clustering and routing approach for wireless sensor networks. International Journal of Distributed Sensor Networks, 13.

  41. Qin, W., Hempstead, M., & Woodward, Y. A realistic power consumption model for wireless sensor network devices. In Proceedings of the 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks (Secon ’06), 1, 286–295.

  42. Perkins, C., & Royer, E. (1999). Ad-hoc on-demand distance vector routing. In Proceedings of 2nd IEEE Workshop Mobile Comput. Syst. Appl., pp 90–100.

  43. Gao, Y., Kang, G., & Cheng, J. (2019). An opportunistic cooperative packet transmission scheme in wireless multi-hop networks. Sensors, 19(21), 4821.

    Article  Google Scholar 

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Authors and Affiliations

  1. Vardhaman College of Engineering, Hyderabad, Telangana, India

    Praveen Kumar Devulapalli

  2. Koneru Lakshmaiah Education Foundation, Green Fields,, Vaddeswaram, Guntur (Dist.), Andhra Pradesh, 522502, India

    Pardha Saradhi Pokkunuri

  3. Matrusri Engineering College, Saidabad, New Malakpet, Hyderabad, Telangana, 500059, India

    Sushanth Babu Maganti

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  1. Praveen Kumar Devulapalli
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  2. Pardha Saradhi Pokkunuri
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  3. Sushanth Babu Maganti
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Correspondence to Praveen Kumar Devulapalli.

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Devulapalli, P.K., Pokkunuri, P.S. & Maganti, S.B. Energy Efficient Multi-hop Cooperative Transmission Protocol for Large Scale Mobile Ad hoc Networks. Wireless Pers Commun 121, 3309–3328 (2021). https://doi.org/10.1007/s11277-021-08878-2

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