Hybrid Ant Colony and Cuckoo Search Algorithm for Intelligent Routing in Wireless Sensor Network

Praveen, J; Kumanan, T.

doi:10.1007/978-981-16-1056-1_49

Cited by 2 publications

(2 citation statements)

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“…Due to ACO characteristics that is flexible on static, dynamic and mobile WSN environment, many algorithm variants such as energy-efficient ant based routing (EEABR), energy efficient ant colony system, and improved energy efficient ant-based routing have been applied to optimize the WSN packet routing. There are also hybrid ACO algorithms such as fish swarm ant colony optimization (FSACO) [19] and hybrid ant colony and cuckoo search [20]. Hybridization of two or more algorithms aims to improve specific performance Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752  Hybrid packet routing algorithm based on ant colony system and tabu search … (Husna Jamal Abdul Nasir) 979 metrics that are not attainable using single algorithm and the good aspects of each algorithm can be taken to form a better hybrid algorithm.…”

Section: Figure 1 Metaheuristics Algorithmsmentioning

confidence: 99%

Hybrid packet routing algorithm based on ant colony system and tabu search in wireless sensor network

Nasir,

Mahamud,

Kamioka

2023

IJEECS

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<span>Packet routing in wireless sensor network is one of the most crucial aspects as it controls the way packets move through sensor nodes with various capabilities to reach to the destination node. Inefficient routing process may lead to higher energy consumption, higher failure rate, and lower throughput. Metaheuristic algorithms have been some of the common approaches to solve these problems due to their adaptability with dynamic environment. This paper proposed a hybrid metaheuristics routing algorithm that hybridizes ant colony system and tabu search which focuses on exploitation and exploration mechanism while reducing the local optima. The proposed algorithm uses ant colony system technique to discover the best path for packet transmission by considering the energy level of each sensor node. Additionally, tabu search technique is applied to overcome the local optima problem by temporarily suspending the bad nodes and initiate backward movement with the aim to prevent the search agent from getting trapped in a blind alley. The proposed hybrid routing algorithm was evaluated against single and hybrid routing algorithms in terms of throughput, energy consumption, and energy efficiency. Experimental results showed that the proposed algorithm outperformed the other routing algorithms in terms of throughput, energy consumption, and energy efficiency.</span>

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Section: Figure 1 Metaheuristics Algorithmsmentioning

confidence: 99%

Hybrid packet routing algorithm based on ant colony system and tabu search in wireless sensor network

Nasir,

Mahamud,

Kamioka

2023

IJEECS

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“…The original idea has since been diversified/utilized to resolve a much wider category of problems and several algorithms have been suggested, drawing on various aspects of the behavior of ants. Interesting routing protocols [Arjunan and Sujatha, 2018, Guleria and Verma, 2019, Jain and Pathak, 2019, Kaur and Kumar, 2020, Kurian et al, 2021, Ibrahim and Ahmed, 2021, Sefati et al, 2021, Praveen and Kumanan, 2021, Raj and Murmu, 2021] have adopted the utilization of ACO algorithm. However, these proposals concentrate only on energy efficiency and ignore the any aspect on reliability before and after failures.…”

Section: Introductionmentioning

confidence: 99%

A novel energy-efficient and reliable ACO-based routing protocol for WSN-enabled forest fires detection

Moussa

Nurellari

Alaoui

2022

J Ambient Intell Human Comput

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We address the problem of energy efficiency and reliability for forest fires monitored by a distributed bandwidth-constrained Wireless Sensor Network (WSN). To improve energy-efficiency, data routing is an important approach that is being considered in the context of WSNs. An attractive and widely used method to find the optimal communication paths is the Ant Colony Optimization (ACO) algorithm. However, the traditional ACO-based routing protocols only consider the energy-efficiency while ignoring the overall network reliability (before and after failures) which is critical in the context of WSNs. In addition, the existing protocols are not application-specific (i.e., the parameters cannot be adapted to the application's requirements). In this paper, we propose a novel Energy-efficient and Reliable ACO-based Routing Protocol (E-RARP) for WSNs. The proposed protocol not only guarantees high quality communication paths in terms of energy efficiency but also ensures the communication reliability. Critical events in delay-intolerant applications (e.g., forest fires detection) require reliable transmission in order to perform reliable decisions and take appropriate actions in a timely fashion. The simulations results re-

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Hybrid Ant Colony and Cuckoo Search Algorithm for Intelligent Routing in Wireless Sensor Network

Cited by 2 publications

References 10 publications

Hybrid packet routing algorithm based on ant colony system and tabu search in wireless sensor network

Hybrid packet routing algorithm based on ant colony system and tabu search in wireless sensor network

A novel energy-efficient and reliable ACO-based routing protocol for WSN-enabled forest fires detection

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