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An Energy Efficient Glowworm Swarm Optimized Opportunistic Routing in MANET

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Book cover Intelligent Data Communication Technologies and Internet of Things (ICICI 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 38))

Abstract

A mobile ad-hoc network (MANET) is a decentralized network where the MN is moved randomly. Every mobile node (MN) in network is joined wirelessly. Owing to random movement of MN in network, energy efficient routing is major issues because the MN has lesser battery power. Energy Efficient Glowworm Swarm Optimization based Opportunistic Routing (EEGWSO-OR) technique is designed to improve routing in MANET. Initially the numbers of glowworms (i.e., mobile nodes) are randomly created. Each glowworm has luminescence quantity (i.e., energy) called luciferin. For opportunistic routing process, MN chooses nearest node to transfer the data packets. The fitness of each mobile is computed for selecting the optimal one with the threshold energy level. This assists to enhance network lifetime (NL). After finding the energy optimized node, the neighboring node is determined using stepwise regression by transmitting the route request and reply messages. Followed by, route path from source to destination is determined with minimum distance. The data packets (DP) are transmitted after the route discovery process, to destination MN without any duplicate transmission. This assists in enhance the data packet delivery and lessens the routing overhead (RO). Experimental analysis is performed with diverse parameters namely energy consumption (EC), NL, data packet delivery ratio (DPDR) and RO with number of MN and DP. The simulation outcome evident that EEGWSO-OR improves the NL, DPDR and lessens EC and RO as evaluated with conventional methods.

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References

  1. Hao, S., Zhang, H., Song, M.: A LASEERA for MANET. J. Commun. Inf. Netw. 3(2), 52–66 (2018)

    Article  Google Scholar 

  2. Zhou, J., Tan, H., Deng, Y., Cui, L., Liu, D.: ACECR for mobile ad hoc networks under different node mobility models. EURASIP J. Wirel. Commun. Netw. 105, 2–8 (2016)

    Google Scholar 

  3. Das, S.K., Tripathi, S.: Intelligent energy-aware efficient routing for MANET. Wirel. Netw. 24(4), 1139–1159 (2018)

    Article  Google Scholar 

  4. Singh, G., Kumar, N., Verma, A.K.: ANTALG: an innovative ACO based routing algorithm for MANETs. J. Netw. Comput. Appl. 45, 151–167 (2014)

    Article  Google Scholar 

  5. Jamali, S., Rezaei, L., Gudakahriz, S.J.: An energy-efficient routing protocol for MANETs: a particle swarm optimization approach. J. Appl. Res. Technol. 11(6), 803–812 (2013)

    Article  Google Scholar 

  6. Lu, T., Zhu, J.: Genetic algorithm for energy-efficient QoS multicast routing. IEEE Commun. Lett. 17(1), 31–34 (2013)

    Article  Google Scholar 

  7. Zhang, M., Yang, M., Wu, Q., Zheng, R., Zhu, J.: Smart perception and autonomic optimization: a novel bio-inspired hybrid routing protocol for MANETs. Future Gener. Comput. Syst. 81, 505–513 (2018)

    Article  Google Scholar 

  8. Al-Maqbali, H., Day, K., Ould-Khaoua, M., Touzene, A., Alzeidi, N.: A new hybrid grid-based routing approach for MANETS. Procedia Technol. 17, 81–89 (2014)

    Article  Google Scholar 

  9. Li, Y., Wang, Z., Wang, Q., Fan, Q., Chen, B.: Reliable ant colony routing algorithm for dual-channel mobile ad hoc networks. Wirel. Commun. Mob. Comput. 2018, 1–10 (2018)

    Google Scholar 

  10. AlQarni, B.H., AlMogren, A.S.: Reliable and energy efficient protocol for MANET multicasting. J. Comput. Netw. Commun. 2016, 1–13 (2016)

    Article  Google Scholar 

  11. Hassan, M.H., Muniyandi, R.C.: An improved hybrid technique for energy and delay routing in mobile ad-hoc networks. Int. J. Appl. Eng. Res. 12, 134–139 (2017)

    Google Scholar 

  12. Khan, S.M., Nilavalan, R., Sallama, A.F.: A novel approach for reliable route discovery in mobile ad-hoc network. Wirel. Pers. Commun. 83(2), 1519–1529 (2015)

    Article  Google Scholar 

  13. Rao, M., Singh, N.: Energy efficient QoS aware hierarchical KF-MAC routing protocol in MANET. Wirel. Pers. Commun. 101(2), 635–648 (2018)

    Article  Google Scholar 

  14. Zhang, X.M., Wang, E.B., Xia, J.J., Sung, D.K.: A neighbor coverage-based probabilistic rebroadcast for reducing RO in mobile ad hoc networks. IEEE Trans. Mob. Comput. 12(3), 424–433 (2016)

    Google Scholar 

  15. Taha, A., Alsaqour, R., Uddin, M., Abdelhaq, M., Saba, T.: Energy efficient multipath routing protocol for MANET using the fitness function. IEEE Access 5, 10369–10381 (2017)

    Article  Google Scholar 

  16. Carvalho, T., Júnior, J.J., Francês, R.: A new cross-layer routing with energy awareness in hybrid mobile ad hoc networks: a fuzzy-based mechanism. Simul. Model. Pract. Theory 63, 1–22 (2016)

    Article  Google Scholar 

  17. Pathak, S., Jain, S.: A novel weight based clustering algorithm for routing in MANET. Wirel. Netw. 22(8), 2695–2704 (2016)

    Article  Google Scholar 

  18. Pratapa Reddy, A., Satyanarayana, N.: Energy-efficient stable multipath routing in MANET. Wirel. Netw. 23(7), 2083–2091 (2017)

    Article  Google Scholar 

  19. Wu, Z.-Y., Song, H.-T.: Ant-based energy-aware disjoint multipath routing algorithm for MANETs. Comput. J. 53(2), 166–176 (2010)

    Article  Google Scholar 

  20. Sarkar, S., Datta, R.: An adaptive protocol for stable and energy-aware routing in MANETs. IETE Tech. Rev. 34(4), 1–13 (2017)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science, Karpagam Academy of Higher Education, Coimbatore, India

    D. Sathiya & S. Sheeja

Authors
  1. D. Sathiya
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  2. S. Sheeja
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Correspondence to D. Sathiya .

Editor information

Editors and Affiliations

  1. Department of ECE, Karunya University, Coimbatore, India

    D. Jude Hemanth

  2. Department of Electronics and Computer Engineering, Tribhuvan University, Kirtipur, Nepal

    Subarna Shakya

  3. School of Science, Edith Cowan University, Joondalup Campus, Joondalup, WA, Australia

    Zubair Baig

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Sathiya, D., Sheeja, S. (2020). An Energy Efficient Glowworm Swarm Optimized Opportunistic Routing in MANET. In: Hemanth, D., Shakya, S., Baig, Z. (eds) Intelligent Data Communication Technologies and Internet of Things. ICICI 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 38. Springer, Cham. https://doi.org/10.1007/978-3-030-34080-3_34

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