Reliable Coverage Area Based Link Expiration Time (LET) Routing Metric for Mobile Ad Hoc Networks

Ahmed, Izhar; Tepe, Kemal E.; Singh, Brajendra Kumar

doi:10.1007/978-3-642-11723-7_31

Cited by 10 publications

(3 citation statements)

References 8 publications

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“…In MANET, the nodes are randomly present and they are supposed to develop and maintain the entire network automatically; hence, the routing algorithms are crucial. Due to active topology and limited resources, developing a dynamic routing protocol that can efficiently find a routing path with low control overhead is very important in MANETs [3][4][5]. Most of the devices and systems in MANET are designed in a performance-oriented manner, not considering the energy efficiency [6].…”

Section: Manetmentioning

confidence: 99%

“…Further, this kind link breakage will also lead to frequent path failures and may cause route reconstructions. As a result, the overhead of the routing protocol will be increased and the lesser packet delivery ratio and longer end-to-end delay will be terminated [4,5]. Re-routing in a mobile ad-hoc network is costly and would result in flooding the network due to the lack of infrastructure [10].…”

Section: Significance Of Node and Link Lifetime Prediction For Route mentioning

confidence: 99%

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Particle swarm optimization (PSO)-based node and link lifetime prediction algorithm for route recovery in MANET

Manickavelu

Vaidyanathan

2014

J Wireless Com Network

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In the conventional mobile ad hoc network (MANET) systems' route rediscovery methods, there exists route failure in all route discovery methods resulting in data loss and communication overheads. Hence, the routing has to be done in accordance with mobility character of the network. In this manuscript, a particle swarm optimization (PSO)-based lifetime prediction algorithm for route recovery in MANET has been proposed. This technique predicts the lifetime of link and node in the available bandwidth based on the parameters like relative mobility of nodes and energy drain rate, etc. Using predictions, the parameters are fuzzified and fuzzy rules have been formed to decide on the node status. This information is made to exchange among all the nodes. Thus, the status of every node is verified before data transmission. Even for a weak node, the performance of a route recovery mechanism is made in such a way that corresponding routes are diverted to the strong nodes. With the aid of the simulated results, the minimization of data loss and communication overhead using PSO prediction has been discussed in detail.

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Section: Manetmentioning

confidence: 99%

Section: Significance Of Node and Link Lifetime Prediction For Route mentioning

confidence: 99%

Particle swarm optimization (PSO)-based node and link lifetime prediction algorithm for route recovery in MANET

Manickavelu

Vaidyanathan

2014

J Wireless Com Network

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“…Many energy-aware routing schemes have been employed to prolong the lifetime of energy constrained mobile nodes in ad hoc networks [14,[22][23][24][25]. Fuzzy logic-based link stability is determined in [26], in which the best routing path is selected among multiple paths based on the path with highest link stability. Energy reduction in multipath routing in MANET using recoiled node technique is introduced in [27], in which particular nodes only participate in routing the data between the source and destination based on the geographical location and residual energy.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Function-Based Node-Disjoint Multipath Routing for Mobile Ad Hoc Networks

et al. 2021

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The main goal is to find multiple node-disjoint paths that meet the multi-objective optimization problem in terms of energy consumption minimization and network lifetime improvement. Due to the battery-dependent nodes in mobile ad hoc networks, the performance of the network will degrade. Hence, it is necessary to choose multiple optimal node-disjoint paths between source and destination for data transfer. Additionally, it improves the Quality of Service (QoS) of wireless networks. Multi-objective function is used to select a path such that it gives an optimum result based on the energy consumption, hop, and traffic load. From the simulation results, it is proved that the proposed system is achieving less energy consumption and improved network lifetime compared with existing Dynamic Source Routing (DSR), Hopfield Neural Network-based Disjoint Path set Selection (HNNDPS) and Multipath DSR (MDSR).

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Reliable Coverage Area Based Link Expiration Time (LET) Routing Metric for Mobile Ad Hoc Networks

Cited by 10 publications

References 8 publications

Particle swarm optimization (PSO)-based node and link lifetime prediction algorithm for route recovery in MANET

Particle swarm optimization (PSO)-based node and link lifetime prediction algorithm for route recovery in MANET

Multi-Objective Function-Based Node-Disjoint Multipath Routing for Mobile Ad Hoc Networks

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