Ant colony-based energy control routing protocol for mobile ad hoc networks under different node mobility models

Zhou, Jipeng; Tan, Haisheng; Deng, Yuhui; Cui, Lin; Liu, Deng Deng

doi:10.1186/s13638-016-0600-x

Cited by 26 publications

(16 citation statements)

References 13 publications

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“…At every phase, current output depends on the earlier input. Routing based on metaheuristic algorithms like a genetic algorithm (GA) [72,73], Particle swarm optimization (PSO) [74], and ant colony optimization (ACO) [75,76] are some of the examples for this kind of routing.…”

Section: Learning-based Routing Approachesmentioning

confidence: 99%

“…Based on the ACO algorithm, Zhou et al [76] proposed the "Ant-Colony Based Energy Control Routing (ACECR)" to discover an optimal route with the help of a positive feedback character. Along with a number of hops and the node energy, this approach also considered the minimum and average energy of routes during the route selection.…”

Section: Learning-based Routing Approachesmentioning

confidence: 99%

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A Parametric Oriented Research on Routing Algorithms in Mobile Adhoc Networks

Shailaja*,

Rao,

Nagaraju

2019

IJITEE

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Due to the infrastructure-less and no central administration architecture, Mobile Adhoc Networks (MANETs) gained significant interest in various wireless information transfer related applications. However, the selection of an optimal path to transmit the data is a more critical issue in MANETs because the nodes are resource-constrained and also have mobility. To provide an optimal solution to this constraint, various methods are proposed in earlier. Initially, some basic routing protocols are developed and further by modifying the base protocols so many strategies are developed. The proposed Research paper outlines a detailed survey about the earlier developed such strategies and also done a fined classification based on the methodology they followed. Broadly the comprehensive routing approaches are classified into two classes, namely single metric-based approaches and multiple metricsbased approaches. The further classification is done based on the routing protocol used at the base. Due to the widespread utilization of meta-heuristic algorithms, some authors used those techniques also in the discovery of an optimal path and some approaches are outlined in this paper. Moreover, at every phase, a fine and detailed comparison is shown through various constraints.

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Section: Learning-based Routing Approachesmentioning

confidence: 99%

Section: Learning-based Routing Approachesmentioning

confidence: 99%

A Parametric Oriented Research on Routing Algorithms in Mobile Adhoc Networks

Shailaja*,

Rao,

Nagaraju

2019

IJITEE

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“…The ACECR algorithm [27] was proposed by Zhou et al ACECR is based on the ACO algorithm, whose pheromone updates depend on two aspects: the number of hops and the remaining energy. However, this algorithm does not consider stability and reliability.…”

Section: Representative Schemes For Comparisonmentioning

confidence: 99%

Reliable Ant Colony Routing Algorithm for Dual‐Channel Mobile Ad Hoc Networks

Wang

et al. 2018

Wireless Communications and Mobile Computing

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For the problem of poor link reliability caused by high-speed dynamic changes and congestion owing to low network bandwidth in ad hoc networks, an ant colony routing algorithm, based on reliable path under dual-channel condition (DSAR), is proposed. First, dual-channel communication mode is used to improve network bandwidth, and a hierarchical network model is proposed to optimize the dual-layer network. Thus, we reduce network congestion and communication delay. Second, a comprehensive reliable path selection strategy is designed, and the reliable path is selected ahead of time to reduce the probability of routing restart. Finally, the ant colony algorithm is used to improve the adaptability of the routing algorithm to changes of network topology. Simulation results show that DSAR improves the reliability of routing, packet delivery, and throughput.

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“…In recent years, power management schemes have two objectives, which are to minimize the total power consumption in the network 309 and to minimize the power consumption per node. A method to reduce the energy costs among the different nodes, called the ant colony-based energy control routing (ACECR) protocol, has been suggested [9]; however, two major issues were found regarding their work, namely, pheromone evaporation and leak of routing efficacy protocol [10]. Therefore, a hybrid particle swarm optimization (PSO)-ACECR protocol is proposed to address the work of Zhou et al (2016), in which the route decision does not depend on the QoS between the routing and the MANET energy [11].…”

Section: Introductionmentioning

confidence: 99%

“…A method to reduce the energy costs among the different nodes, called the ant colony-based energy control routing (ACECR) protocol, has been suggested [9]; however, two major issues were found regarding their work, namely, pheromone evaporation and leak of routing efficacy protocol [10]. Therefore, a hybrid particle swarm optimization (PSO)-ACECR protocol is proposed to address the work of Zhou et al (2016), in which the route decision does not depend on the QoS between the routing and the MANET energy [11]. Therefore, this present study aims to develop a PSO for ACECR in terms of the best and nearest path and the minimal node power consumption, which focuses on each node that is consistently available and reduces the dead node numbers in the work of Zhou.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of Energy Control Routing Protocol for Mobile Ad Hoc Network Based on Hybrid Particle Swarm Optimization with Ant Colony-based Energy Control Routing

Shakir

Muniyandi

Ali

2017

IJEECS

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MANET is an autonomous collection of distributed mobile nodes. Every node in a MANET works as a source and a sink and that relays packets for other nodes. The key features of a MANET include dynamic network topology, distributed network nature, multi-hop communication, limited bandwidth, and limited energy constraints. Given that the battery of the nodes is limited, the energy of the nodes and the lifetime of network is a critical problem in MANETs. Moreover, nodes maintain static or less movement after being deployed. The energy of the MANET nodes cannot be recharged, which leads to dead nodes. This study improves the energy cost for the ACECR and boosts advancement through its contributions. Areas in the ad hoc network where much work is needed are discussed. This study only explored the impact of PSO on ACECR. Results indicate that ACECR- PSO performed better than the other protocols in terms of balanced energy consumption and extended network lifetime.

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Ant colony-based energy control routing protocol for mobile ad hoc networks under different node mobility models

Cited by 26 publications

References 13 publications

A Parametric Oriented Research on Routing Algorithms in Mobile Adhoc Networks

A Parametric Oriented Research on Routing Algorithms in Mobile Adhoc Networks

Reliable Ant Colony Routing Algorithm for Dual‐Channel Mobile Ad Hoc Networks

Enhancement of Energy Control Routing Protocol for Mobile Ad Hoc Network Based on Hybrid Particle Swarm Optimization with Ant Colony-based Energy Control Routing

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