Abstract
The energy consumption plays a key role in mobile ad hoc networks in a day-to-day life. Mobile ad hoc network (MANET) structure is a temporary network organized dynamically with a possible family of wireless mobiles independent of any extra infrastructural facilities and central administration requirements. In addition, it provides the solution to overcome the minimal energy consumption issues. Nodes are battery-operated temporarily does not operated on permanent batteries, so energy consumed by a battery depends on the lifetime of the battery and its energy utilization dynamically decreases as the nodes change their position in MANETs. Multipath routing algorithm in MANETs provides the best optimal solution to transmit the information in multiple paths to minimize the end-to-end delay, increases energy efficiency and moderately enhances the lifetime of a network. The research mainly focused on minimum energy consumption techniques in MANET is of a great challenge in industries. In this paper, the author highlights a novel algorithmic approach ad hoc on-demand multipath distance vector (AOMDV) routing protocol to increases the energy efficiency in MANET by incorporating the demand multipath distance and fitness function. The ad hoc on-demand multipath distance vector-fitness function (AOMDV-FF) routing protocol short out minimum distance path that consumes minimum energy and the simulation performance is evaluated using network simulator-2 (NS2) tool. Two protocols are proposed in this work AOMDV and AOMDV-FF and compared some of the performance parameters, like energy efficiency, network lifetime and routing overhead in terms of data transfer rate, data packet size and simulation time, etc. The overall simulation results of the proposed AOMDV-FF method is to be considered as a network with 49 nodes and the network performance factor end-to-end delay 14.4358 ms, energy consumption 18.3673 joules, packet delivery ratio 0.9911 and routing overhead ratio 4.68 are evaluated. The results show an enriched performance as compared to AOMDV and AOMR-LM methods.
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References
Taha, A., Alsaqour, R., Uddin, M., Abdelhaq, M., Saba, T.: Energy efficient multipath routing protocol for mobile ad-hoc network using the fitness function. IEEE Access 5, 10369–10381 (2017). https://doi.org/10.1109/access.2017.2707537
Iswarya, J., Sureka, R., Santhalakshmi, S.R.: Energy efficiency multipath routing protocol for mobile ad-hoc network using the fitness function. Int. J. Inn. Res. Comput. Sci. Eng. (IJIRCSE) 3(3), 11–15 (2018). ISSN: 2394-6364, www.ioirp.com
Uddin, M.,Taha, A.,Alsaqour, R., Saba, T.: Energy efficient multipath routing protocol for mobile ad-hoc network using the fitness function. IEEE Access https://doi.org/10.1109/access.2017.2707537
Ramya, V., Sangeetha, M., Rajeswari, A.: Energy efficient multipath routing protocol for manet using fitness function. IOSR J. Eng. (IOSRJEN) 59–63. ISSN (e): 2250-3021, ISSN (p): 2278-8719
Aye, M.C., Aung, A.M.: Energy efficient multipath routing for mobile ad hoc networks. Int. J. Info. Technol. Model. Comput. 2(3) (2014)
Tekaya, M., Tabbane, N., Tabbane, S.: ‘Multipath routing mechanism with load balancing in ad hoc network. Int. Conf. Comput. Eng. Syst (ICCES) 67–72 (2010)
Gatani, L., Re, G.L., Gaglio, S: Notice of violation of IEEE publication principles an adaptive routing protocol for ad hoc peer-to-peer networks. In: Sixth IEEE International Symposium on A World Of Wireless Mobile And Multimedia Networks, pp. 44–50. IEEE
Chaba, Y., Patel, R.B., Gargi, R.: Issues and challenges involved in multipath routing with DYMO protocol. Int. J. Inf. Technol. Knowl. Manage 5(1), 21–25 (2012)
Mueller, S., Tsang, R.P., Ghosal, D.: Multipath routing in mobile ad hoc networks: issues and challenges. In:Performance Tools and Applications to Networked Systems, pp. 209–234. Springer, Berlin, Germany (2004)
Balaji, V., Duraisamy, V.: Varying overhead ad hoc on demand vector routing in highly mobile ad hoc network. Jrn. Comput. Sci. 7(5), 678–682 (2011)
Carson, S., Macker, J.: Mobile Ad Hoc Networking (MANET): Routing Protocol Performance Issues and Evolution Considerations. RFC Editor (1999)
Poonam, M., Preeti, D.: Packet Forwarding using AOMDV algorithm in WSN. Int. J. Appl Innov Eng. Manage (IJAIEM) 3(5), 456–459 (2014)
Hu, Y.-F., Ding, Y.-S., Ren, L.-H., Hao, K.-R., Han, H.: An endocrine cooperative particle swarm optimization algorithm for routing recovery problem of wireless sensor networks with multiple mobile sinks. Inf. Sci. 300, 100–113 (2015)
Hiremath, P.S, Joshi, S.M.: Energy efficient routing protocol with adaptive fuzzy threshold energy for MANETs. Int. J. Comput. Netw. Wireless Commu. (IJCNWC) 2 (2012). ISSN: 2250–3501
Montazeri, A., Poshtan, J., Yousefi-Koma, A.: The use of ‘particle swarm’to optimize the control system in a PZT laminated plate. Smart Mater. Struct. 17(4), 045027 (2008)
Mueller, S., Tsang, R.P., Ghosal, D.: Multipath routing in mobile ad hoc networks: issues and challenges. In: International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, pp. 209–234. Springer, Berlin, Heidelberg (2004)
Acknowledgements
The authors express their sincere thanks to FIST-DST R&D Dept & Management of Vignana Bharathi Institute of Technology, Hyderabad, T. S. for their continuous and concurrent support for the usage of laboratory facility during this research work.
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Monika, P., Rao, P.V., Premkumar, B.C., Mallick, P.K. (2020). Implementing and Evaluating the Performance Metrics Using Energy Consumption Protocols in MANETs Using Multipath Routing-Fitness Function. In: Mallick, P., Balas, V., Bhoi, A., Chae, GS. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 1040. Springer, Singapore. https://doi.org/10.1007/978-981-15-1451-7_31
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