IJCNIS Vol. 15, No. 6, 8 Dec. 2023
Cover page and Table of Contents: PDF (size: 367KB)
Full Text (PDF, 367KB), PP.89-102
Views: 0 Downloads: 0
Ad Hoc Networks, AODV, AOMDV, Energy Consumption, Optimization, Overhead, Priority, Routing
Energy–aware routing in wireless ad hoc networks is one of the demanding fields of research. Nodes of the network are battery operated that are difficult to recharge and replace, that's why while developing a routing protocol energy consumption metric should always be at high priority. Nodes of mobile ad hoc networks are distributed in different directions forming arbitrary topology instantly. To propose an energy-efficient routing protocol for such a dynamic, self-organized, self-configured, and self-controlled network is certainly a challenge and an open research problem. Energy constraints and mobility leading to link breakage are the motivating factors behind the development of the proposed Optimized Priority-based Ad Hoc on Demand Multi-path Distance Vector Energy Efficient Routing Protocol (OPAOMDV-EE). The routing protocol added three fields (CE, MAX_E, MIN_E) to the traditional AOMDV RREQ and RREP packets, which are further used for calculating total priority field value. This value is used by the source node for selecting an optimal prioritized energy-efficient route. The proposed OPAOMDV-EE protocol has been simulated on Network Simulator-2 (NS-2) for two different scenarios that prove the effectiveness of OPAOMDV-EE in terms of various performance metrics with reduced energy consumption.
Swati Atri, Sanjay Tyagi, "Energy Based Route Prioritization for Optimum Multi-path Selection", International Journal of Computer Network and Information Security(IJCNIS), Vol.15, No.6, pp.89-102, 2023. DOI:10.5815/ijcnis.2023.06.08
[1]A. M. Bamhdi, “Efficient dynamic-power AODV routing protocol based on node density,” Comput. Stand. Interfaces, vol. 70, p. 103406, Jun. 2020, doi: 10.1016/j.csi.2019.103406.
[2]P. Kaur, D. D. Kaur, and D. R. Mahajan, “The Literature Survey on Manet, Routing Protocols and Metrics,” p. 5, 2015.
[3]N. S. Saba Farheen and A. Jain, “Improved routing in MANET with optimized multi path routing fine tuned with hybrid modeling,” J. King Saud Univ. - Comput. Inf. Sci., p. S1319157819310304, Jan. 2020, doi: 10.1016/j.jksuci.2020.01.001.
[4]S. A. Alghamdi, “Load balancing maximal minimal nodal residual energy ad hoc on-demand multipath distance vector routing protocol (LBMMRE-AOMDV),” Wirel. Netw., vol. 22, no. 4, pp. 1355–1363, May 2016, doi: 10.1007/s11276-015-1029-6.
[5]R. Chaudhry and S. Tapaswi, “Bio-inspired energy conserving adaptive power and rate control in MANET,” Computing, vol. 101, no. 11, pp. 1633–1659, Nov. 2019, doi: 10.1007/s00607-018-0676-8.
[6]A. Bhardwaj and H. El-Ocla, “Multipath Routing Protocol Using Genetic Algorithm in Mobile Ad Hoc Networks,” IEEE Access, vol. 8, pp. 177534–177548, 2020, doi: 10.1109/ACCESS.2020.3027043.
[7]Z. Chen, W. Zhou, S. Wu, and L. Cheng, “An Adaptive on-Demand Multipath Routing Protocol With QoS Support for High-Speed MANET,” IEEE Access, vol. 8, pp. 44760–44773, 2020, doi: 10.1109/ACCESS.2020.2978582.
[8]G. K. C, G. S, and A. B. A.M, “High energy efficient lifetime management system and trust management framework for manet using self-configurable cluster mechanism,” Peer--Peer Netw. Appl., Feb. 2021, doi: 10.1007/s12083-021-01094-6.
[9]Y. H. Robinson and M. Rajaram, “Energy-Aware Multipath Routing Scheme Based on Particle Swarm Optimization in Mobile Ad Hoc Networks,” Sci. World J., vol. 2015, pp. 1–9, 2015, doi: 10.1155/2015/284276.
[10]J. Deepa and J. Sutha, “A new energy based power aware routing method for MANETs,” Clust. Comput., vol. 22, no. 6, pp. 13317–13324, Nov. 2019, doi: 10.1007/s10586-018-1868-x.
[11]D. Wei, H. Cao, and Z. Liu, “Trust-based ad hoc on-demand multipath distance vector routing in MANETs,” in 2016 16th International Symposium on Communications and Information Technologies (ISCIT), Sep. 2016, pp. 210–215. doi: 10.1109/ISCIT.2016.7751623.
[12]V. Ponnuswamy, S. Anand John Francis, and J. A. Dinakaran, “Max-Min-Path Energy-Efficient Routing Algorithm – A Novel Approach to Enhance Network Lifetime of MANETs,” in Distributed Computing and Networking, Berlin, Heidelberg, 2014, vol. 8314, pp. 512–518. doi: 10.1007/978-3-642-45249-9_35.
[13]A. M, S. T, and A. M, “Energy efficient channel aware multipath routing protocol for mobile ad-hoc network,” Concurr. Comput. Pract. Exp., vol. 31, no. 4, p. e4940, 2019, doi: https://doi.org/10.1002/cpe.4940.
[14]H. Riasudheen, K. Selvamani, S. Mukherjee, and I. R. Divyasree, “An efficient energy-aware routing scheme for cloud-assisted MANETs in 5G,” Ad Hoc Netw., vol. 97, p. 102021, Feb. 2020, doi: 10.1016/j.adhoc.2019.102021.
[15]R. Sahu, S. Sharma, and M. A. Rizvi, “ZBLE: Zone Based Efficient Energy Multipath Protocol for Routing in Mobile Ad Hoc Networks,” Wirel. Pers. Commun., vol. 113, no. 4, pp. 2641–2659, Aug. 2020, doi: 10.1007/s11277-020-07345-8.
[16]X. Yang, M. Li, P. Wang, and Y. Hu, “An adaptive-aware energy and queue improvement of AOMDV,” Int. J. Commun. Syst., vol. 32, no. 14, p. e4054, 2019, doi: https://doi.org/10.1002/dac.4054.
[17]A. Banerjee and S. Chowdhury, “Expected residual lifetime based ad hoc on-demand multipath routing protocol (ERL-AOMDV) in mobile ad hoc networks,” Int. J. Inf. Technol., vol. 11, no. 4, pp. 727–733, Dec. 2019, doi: 10.1007/s41870-018-0107-2.
[18]C. E. Perkins, E. M. Royer, S. R. Das, and M. K. Marina, “Performance comparison of two on-demand routing protocols for ad hoc networks,” IEEE Pers. Commun., vol. 8, no. 1, pp. 16–28, Feb. 2001, doi: 10.1109/98.904895.
[19]P. Pitchaipillai and K. Eswaramurthy, “A novel approach to enhance the quality of AOMDV routing protocol for mobile ad hoc networks,” vol. 69, pp. 394–404, Mar. 2014.
[20]B. Mathur and A. Jain, “AOMDV Protocol: A Literature Review,” Int. J. New Technol. Res., vol. 4, no. 7, Aug. 2018, doi: 10.31871/IJNTR.4.7.29.
[21]M. K. Marina and S. R. Das, “Ad hoc on-demand multipath distance vector routing,” Wirel. Commun. Mob. Comput., vol. 6, no. 7, pp. 969–988, 2006, doi: https://doi.org/10.1002/wcm.432.
[22]S. Atri and S. Tyagi, “Multi-path Priority Based Route Discovery Mechanism,” in Next Generation Computing Technologies on Computational Intelligence, Dehradun, India, 2019, pp. 321–329. doi: 10.1007/978-981-15-1718-1_27.