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International Journal of Advanced Technology and Engineering Exploration (IJATEE)

ISSN (Print):2394-5443    ISSN (Online):2394-7454
Volume-9 Issue-97 December-2022
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Paper Title : PRS-LD: priority-based rank selection load distribution protocol for routing in MANETs
Author Name : Swati Atri and Sanjay Tyagi
Abstract :

Internet of things (IoT) and fifth generation (5G) both are rapidly flourishing the demand for the development of ad hoc networks to meet the communication requirement of wireless communication. Mobile ad hoc multipath routing protocols offer the facility to build multiple paths for communication between a source node (SN) and the destination node (DN). As the number of paths has been maintained between the two nodes of the network, multipath routing protocols add the reliability feature to the network. Initially, multipath routing protocols make use of a single path for data transfer at a particular point of time. Switching to the next alternate path happens only when the previous one fails. Multipath variant of ad hoc routing protocols is gaining importance nowadays due to the reliability and consistent wireless communication offer by them. It is a difficult task to efficiently distribute the data traffic along multiple available paths with the parallel transmission of packets and is an open research problem that has been addressed by the paper. Load balancing or load distribution feature allows exploitation of the multipath routing in an efficient way. It allows the transfer of data traffics simultaneously along multiple available paths. This not only reduces the energy of nodes along a specific path, but also helps in reducing the end-to-end delay caused by the failure of nodes or paths. In this paper, a priority-based rank selection load distribution (PRS-LD) protocol for performing load-balanced routing has been proposed. It makes use of an optimized priority-based ad hoc on-demand multipath distance vector energy efficient (OPAOMDV-EE) routing protocol for the route discovery phase and rank based selection technique for distributing load or data traffics along the multiple obtained routes. The protocol has been simulated on a network simulator (NS)-2.35 and the analysis of the result proves the effectiveness of the protocol in high-load scenarios by reducing the value of route discovery frequency, routing overhead, the average end-to-end delay, and the number of energy exhausted nodes.

Keywords : AOMDV, Energy efficient, Load distribution, MANETs, Multi-path, Priority, Probability, Rank selection, Data traffic.
Cite this article : Atri S, Tyagi S. PRS-LD: priority-based rank selection load distribution protocol for routing in MANETs. International Journal of Advanced Technology and Engineering Exploration. 2022; 9(97):1885-1903. DOI:10.19101/IJATEE.2021.876516.
References :
[1]Atri S, Tyagi S. Multi-path priority based route discovery mechanism. In international conference on next generation computing technologies 2018 (pp. 321-9). Springer, Singapore.
[Crossref] [Google Scholar]
[2]Liu J, Chen J, Kuo Y. Multipath routing protocol for networks lifetime maximization in ad-hoc networks. In 5th international conference on wireless communications, networking and mobile computing 2009 (pp. 1-4). IEEE.
[Crossref] [Google Scholar]
[3]Corson S, Macker J. RFC2501: mobile ad hoc networking (MANET): routing protocol performance issues and evaluation considerations. Network Working Group. 1999; 1-12.
[Google Scholar]
[4]Roy A, Deb T. Performance comparison of routing protocols in mobile ad hoc networks. In proceedings of the international conference on computing and communication systems 2018 (pp. 33-48). Springer, Singapore.
[Crossref] [Google Scholar]
[5]Alghamdi SA. Load balancing ad hoc on-demand multipath distance vector (LBAOMDV) routing protocol. EURASIP Journal on Wireless Communications and Networking. 2015; 2015(1):1-11.
[Crossref] [Google Scholar]
[6]Yang X, Li M, Wang P, Hu Y. An adaptive‐aware energy and queue improvement of AOMDV. International Journal of Communication Systems. 2019; 32(14):1-16.
[Crossref] [Google Scholar]
[7]Leung R, Liu J, Poon E, Chan AL, Li B. MP-DSR: a QoS-aware multi-path dynamic source routing protocol for wireless ad-hoc networks. In proceedings of 26th annual conference on local computer networks 2001 (pp. 132-41). IEEE.
[Crossref] [Google Scholar]
[8]Glam A, Hacohen M, Farbman B. Improved load-balancing routing algorithms in MANET using node cardinality metric. In international conference on microwaves, antennas, communications and electronic systems 2021 (pp. 1-6). IEEE.
[Crossref] [Google Scholar]
[9]Ramalingam R, Muniyan R, Dumka A, Singh DP, Mohamed HG, Singh R, et al. Routing protocol for MANET based on QoS-aware service composition with dynamic secured broker selection. Electronics. 2022; 11(17):1-17.
[Crossref] [Google Scholar]
[10]Suganthi R, Poonguzhali I, Navarajan J, Krishnaveni R, Saranya NN. Trust based efficient routing (TER) protocol for MANETS. Materials Today: Proceedings. 2021; 1-8.
[Crossref] [Google Scholar]
[11]Benatia SE, Smail O, Meftah B, Rebbah M, Cousin B. A reliable multipath routing protocol based on link quality and stability for MANETs in urban areas. Simulation Modelling Practice and Theory. 2021; 113:1-17.
[Crossref] [Google Scholar]
[12]Handur VS, Deshpande SL. Artificial bee colony optimization-based load balancing in distributed computing systems-a survey. In smart trends in computing and communications 2023 (pp. 733-40). Springer, Singapore.
[Crossref] [Google Scholar]
[13]Chen Z, Zhou W, Wu S, Cheng L. An on demand load balancing multi-path routing protocol for differentiated services in MWSN. Computer Communications. 2021; 179:296-306.
[Crossref] [Google Scholar]
[14]Gharib M, Afghah F, Bentley ES. LB-OPAR: load balanced optimized predictive and adaptive routing for cooperative UAV networks. Ad Hoc Networks. 2022.
[Crossref] [Google Scholar]
[15]Pal A, Dutta P, Chakrabarti A, Singh JP. A multipath load balancing routing protocol in mobile ad hoc network using recurrent neural network. In international conference on computational intelligence, communications, and business analytics 2018 (pp. 458-64). Springer, Singapore.
[Crossref] [Google Scholar]
[16]Hassanein H, Zhou A. Routing with load balancing in wireless ad hoc networks. In proceedings of the 4th ACM international workshop on modeling, analysis and simulation of wireless and mobile systems 2001 (pp. 89-96).
[Crossref] [Google Scholar]
[17]Yamsani N, Kumar BV, Aluvala S, Dandugudum M, Reddy GS. An improved load balancing in MANET using on-demand multipath routing protocol. International Journal of Engineering & Technology. 2018; 7(1.8):222-5.
[Google Scholar]
[18]Ali HA, Hamza TT, Sarhan S. MANET load balancing parallel routing protocol. International Journal of Computer Science Issues. 2012; 9(4):187-93.
[Google Scholar]
[19]Ali A, Huiqiang W. Node centric load balancing routing protocol for mobile ad hoc networks. In proceeding of international multiconference of engineers and computer scientists 2012 (pp. 1-5).
[Google Scholar]
[20]Li S, Zhao S, Wang X, Zhang K, Li L. Adaptive and secure load-balancing routing protocol for service-oriented wireless sensor networks. IEEE Systems Journal. 2013; 8(3):858-67.
[Crossref] [Google Scholar]
[21]Salem MA, Yadav R. Efficient load balancing routing technique for mobile ad hoc networks. International Journal of Advanced Computer Science and Applications. 2016; 7(5):249-54.
[Google Scholar]
[22]Souihli O, Frikha M, Hamouda MB. Load-balancing in MANET shortest-path routing protocols. Ad Hoc Networks. 2009; 7(2):431-42.
[Crossref] [Google Scholar]
[23]Tseng CH. Multipath load balancing routing for internet of things. Journal of Sensors. 2016; 2016:1-9.
[Crossref] [Google Scholar]
[24]Pathak G, Kumar K. Traffic aware load balancing in AOMDV for mobile ad-hoc networks. Journal of Communications and Information Networks. 2017; 2(3):123-30.
[Crossref] [Google Scholar]
[25]Alghamdi SA. Load balancing maximal minimal nodal residual energy ad hoc on-demand multipath distance vector routing protocol (LBMMRE-AOMDV). Wireless Networks. 2016; 22(4):1355-63.
[Crossref] [Google Scholar]
[26]Aouiz AA, Hacene SB, Lorenz P. Channel busyness based multipath load balancing routing protocol for ad hoc networks. IEEE Network. 2019; 33(5):118-25.
[Crossref] [Google Scholar]
[27]Li P, Guo L, Wang F. A multipath routing protocol with load balancing and energy constraining based on AOMDV in ad hoc network. Mobile Networks and Applications. 2021; 26(5):1871-80.
[Crossref] [Google Scholar]
[28]Pal A, Singh JP, Dutta P. Path length prediction in MANET under AODV routing: comparative analysis of ARIMA and MLP model. Egyptian Informatics Journal. 2015; 16(1):103-11.
[Crossref] [Google Scholar]
[29]Rungtaveesak M, Chartkajekaew N, Thongthavorn T, Narongkhachavana W, Prabhavat S. A dynamic routing for load distribution in mobile ad-hoc network. In international conference on computing and information technology 2017 (pp. 232-41). Springer, Cham.
[Crossref] [Google Scholar]
[30]Seyfollahi A, Ghaffari A. A lightweight load balancing and route minimizing solution for routing protocol for low-power and lossy networks. Computer Networks. 2020; 179:1-21.
[Crossref] [Google Scholar]
[31]Adil M. Congestion free opportunistic multipath routing load balancing scheme for internet of things (IoT). Computer Networks. 2021; 184:1-26.
[Crossref] [Google Scholar]
[32]Bhattacharya A, Sinha K. An efficient protocol for load-balanced multipath routing in mobile ad hoc networks. Ad Hoc Networks. 2017; 63:104-14.
[Crossref] [Google Scholar]
[33]Jabbar WA, Ismail M, Nordin R. Energy and mobility conscious multipath routing scheme for route stability and load balancing in MANETs. Simulation Modelling Practice and Theory. 2017; 77:245-71.
[Crossref] [Google Scholar]
[34]Shukla A, Pandey HM, Mehrotra D. Comparative review of selection techniques in genetic algorithm. In international conference on futuristic trends on computational analysis and knowledge management 2015 (pp. 515-9). IEEE.
[Crossref] [Google Scholar]