A novel energy efficient routing algorithm for MPLS-MANET using fuzzy logic controller

Ambika, B. J.; Banga, M. K.

doi:10.1504/ijics.2021.10034315

Cited by 1 publication

(1 citation statement)

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“…The authors of [ 17 ] made use of fuzzy logic to determine the optimal route, and took into consideration multiple parameters to select routing relay nodes, but fuzzy logic was only used in the destination node. Improving the energy efficiency of routing algorithms through fuzzy logic controller was proposed in [ 18 ]. However, these works mainly focused on using fuzzy logic to determine the optimal node without considering reliability and hops simultaneously, which increases the probability of link interruption and delay.…”

Section: Introductionmentioning

confidence: 99%

Highly Reliable Fuzzy-Logic-Assisted AODV Routing Algorithm for Mobile Ad Hoc Networks

Wang

Zhu

et al. 2021

Sensors

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Due to the noncentered, self-organizing, and self-healing characteristics, mobile ad hoc networks (MANET) have been more and more widely used as an alternative access technology for regions having no fixed infrastructure. On-demand routing protocols (e.g., ad hoc on-demand distance vector (AODV)) are used to cope with the rapidly changing topology of MANET and reduce the network overhead. Taking delay, stability, and remaining energy of nodes into consideration, a fuzzy-logic-assisted AODV (FL-AODV) routing algorithm is proposed in this paper to further improve the reliability of the route in MANET. In the route discovery phase, the node with the highest reliability is selected as the relay node, and the route with the highest accumulated reliability is reserved for data transmission. Simulation results show that, compared with the traditional AODV protocol and the fuzzy logic routing algorithm (FLRA), the proposed routing protocol has higher reliability without increasing delay, i.e., better link connectivity and longer route life. The average routing reliability is about 18% higher than AODV while the average delay is the same low when the number of node greater than 70.

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Section: Introductionmentioning

confidence: 99%