A swarm-based hybrid routing protocol to support multiple Quality of Service (QoS) metrics in mobile ad hoc networks

Nivetha, S.; Asokan, R.; Senthilkumaran, N.

doi:10.1109/icccnt.2013.6726804

Cited by 7 publications

(3 citation statements)

References 24 publications

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“…The pause time was set to 50 s. The speed was set to 10 m/s. Each simulation result for the proposed energy-efficient ACO GA hybrid metaheuristic (EAGHM) approach was compared to that of an ACO-based algorithm swarm-based hybrid routing protocol (SHRP) [28] and a GA-based algorithm EGHRP [29]. In SHRP, the results were obtained using QualNet.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In [19] and [20], the authors used the GA for effective tree construction. One of our previous works [21] proposed route optimization with 3 metrics, namely average end-to-end delay, bandwidth, and hop-count using GA. From this review, it was clear that the GA can be effectively applied for reducing the search space and producing only the fittest solutions.…”

Section: Ga-based Qos Routing In Manetsmentioning

confidence: 99%

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Energy efficient multiconstrained optimization using hybrid ACO and GA in MANET routing

Kumaran¹,

Asokan²

2016

Turk J Elec Eng & Comp Sci

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Nodes in mobile ad hoc networks (MANET) suffer from limited battery power and bandwidth. Particularly for real time multimedia communications through MANET, metrics like residual node energy, bandwidth, and end-toend delay have major impacts. In MANET, designing a dynamic routing algorithm to satisfy quality of service (QoS) requirements is a challenging task. Additionally, multiconstrained QoS routing aims to optimize multiple QoS metrics while providing required network resources and is an admittedly complex problem. It has been proved to be NP-complete when a combination of additive, concave, and multiplicative metrics are considered. Hence, this problem can be solved using metaheuristic methods like ant colony optimization (ACO) and the genetic algorithm (GA). The proposed energyefficient ACO GA hybrid metaheuristic approach aims to utilize the benefits of both as a combined approach in order to reduce the routing complexities in the dynamic environment. After due investigation, it has been shown that the proposed hybrid approach improves the performance of MANET routing with satisfied QoS requirements.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Ga-based Qos Routing In Manetsmentioning

confidence: 99%

Energy efficient multiconstrained optimization using hybrid ACO and GA in MANET routing

Kumaran¹,

Asokan²

2016

Turk J Elec Eng & Comp Sci

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“…In the proposed routing strategy, i.e., ACO-McQoS, the bandwidth, delay, and cost are defined as metrics, and the best combination of these indicators is selected to adapt to different QoS requests. Nivetha et al [8] proposed a swarm-based hybrid routing protocol strategy based on the idea of ACO, which supports the three metrics of end-to-end delay, bandwidth, and hops. Fang et al [9] proposed a tight and accurate algorithm based on the branch-and-bound algorithm, so the algorithm can meet numerous requirements.…”

Section: Heuristic Algorithmmentioning

confidence: 99%

A Solution Supporting Secure Transmission of Big Data

Ling

Gao

Wang

et al. 2023

Tsinghua Sci. Technol.

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Traditional Internet protocol networks cannot provide the service of selecting a secure path to transmit various types of data with specific security constraints. First, to solve the "secure path transmission" problem, this paper first proposes a search-transmit model for secure network path transmission, i.e., to find a multi-attribute optimized path that meets the specific security requirements in the search phase, and then transmit the packets along the optimized path in the transmission phase. Second, we propose a solution to the search-transmit model.The idea of the solution is to use the particle swarm optimization algorithm to search for a secure path that meets the multi-attribute requirements and then set the source route on the router to control the packet transmission. Finally, a prototype system based on network function virtualization is developed to evaluate the feasibility and performance of the proposed solution. Experimental results show that the proposed solution outperforms existing algorithms in terms of performance.

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A Proficient Mathematical System (PMS) Design with Improvised Cross Layer Scheme for MANET QoS Support

Asha¹

2021

Proceedings of International Conference on Communication and Artificial Intelligence

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A swarm-based hybrid routing protocol to support multiple Quality of Service (QoS) metrics in mobile ad hoc networks

Cited by 7 publications

References 24 publications

Energy efficient multiconstrained optimization using hybrid ACO and GA in MANET routing

Energy efficient multiconstrained optimization using hybrid ACO and GA in MANET routing

A Solution Supporting Secure Transmission of Big Data

A Proficient Mathematical System (PMS) Design with Improvised Cross Layer Scheme for MANET QoS Support

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