A Noble Approach of ACO Algorithm for WSN

Sharmin, Afsah; Anwar, Farhat; Motakabber, S. M. A.

doi:10.1109/iccce.2018.8539295

Cited by 9 publications

(6 citation statements)

References 13 publications

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“…This paper is an extension of work initially reported in [20], where the necessary parameters for communication process have been taken into account by the proposed method, such as mobility and energy parameters. Most of the proposed routing algorithms have addressed merely some communication parameters that are not adequate enough to enhance the communication quality needed by the energy constrained IoT applications.…”

Section: Astesj Issn: 2415-6698mentioning

confidence: 99%

“…An improved network routing algorithm based on ACO is proposed here by analyzing the nodes' balanced consumption of energy. At the place of node i and time t, each ant m will adhere to the following probabilistic formula to select the next node j being the forwarding node of the subsequent route for the enhancement that is proposed of the ACO algorithm of ours [20] for the next hop routing:…”

Section: Proposed Aco Algorithmmentioning

confidence: 99%

“…Forming clusters associated with the group of nodes is deliberated on achieving scalability and robustness. For this reason, the routing protocol presented in [20] can be integrated with a clustering routing technique, such as LEACH (Low-energy adaptive clustering hierarchy) protocol [22]. It improves the selection strategy of optimal cluster head (CH), which is based on probability, node residual energy, and the distance of a node from the base station (BS).…”

Section: Proposed Improvementmentioning

confidence: 99%

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Efficient and Scalable Ant Colony Optimization based WSN Routing Protocol for IoT

Sharmin¹,

Anwar²,

Motakabber³

2020

Adv. sci. technol. eng. syst. j.

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IoT integrates and connects intelligent devices or objects with varied architectures and resources. The number of IoT devices is growing exponentially. Due to the massive wave of IoT objects, their diversity and heterogeneity among their architectures, the existing communication protocols for wireless networks become ineffective in the context of IoT. Wireless Sensor Network (WSN) has the potential to be integrated to the internet of things (IoT). The issues of the routing of WSNs impose nearly similar prerequisites for IoT routing technique. Most of the traditional routing protocols are not appropriate for WSNs and IoT because of resource constraints, computational overhead and environmental interference and do not take into account the different factors affecting energy parameter and do not accommodate node mobility. Routing algorithms must ensure the data transmission in an efficient way, having proper knowledge of the IoT system. For this reason, many intelligent systems have been utilized to design routing algorithms to handle the network's dynamic state. In this paper, an ant colony optimization (ACO) based WSN routing algorithm for IoT has been proposed and analyzed to enhance scalability, to accommodate node mobility and to minimize initialization delay for time critical applications in the context of IoT to find the optimal path of data transmission, improvising efficient IoT communications. The proposed routing algorithm is simulated using MATLAB for performance evaluations. The evaluation results have recorded an improvement in conservation of energy, of almost 50% less consumed energy even with an increase in the number of nodes, by comparing with an existing routing technique based on ant system, a current routing protocol for IoT and the conventional ACO algorithm.

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Section: Astesj Issn: 2415-6698mentioning

confidence: 99%

Section: Proposed Aco Algorithmmentioning

confidence: 99%

Section: Proposed Improvementmentioning

confidence: 99%

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Efficient and Scalable Ant Colony Optimization based WSN Routing Protocol for IoT

Sharmin¹,

Anwar²,

Motakabber³

2020

Adv. sci. technol. eng. syst. j.

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“…This proposed protocol aimed at finding an optimized route between source and destination while consuming energy efficiently and in a balancing way to extend the network lifetime. Optimal path between source and destination nodes is discovered by considering the node mobility along with remaining energy of sensor nodes 64 . To solve the problem of energy efficiency in underwater sensor networks, this paper 65 suggested an energy‐efficient cluster‐based routing algorithm that uses an improved ACO.…”

Section: Related Workmentioning

confidence: 99%

DACOR: A distributed ACO‐based routing protocol for mitigating the hot spot problem in fog‐enabled WSN architecture

Moussa

Alaoui

2021

Int J Communication

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Summary Ant colony optimization (ACO) and unequal clustering algorithms in wireless sensor networks (WSNs) prove their efficiency in protracting the network lifetime. However, the existing ACO and unequal clustering algorithms, respectively, do not consider jointly energy efficiency and reliability and focus only on some normal parameters to adjust the cluster radius, then neglecting the cluster head (CH) neighborhood information as it is wise to reduce the cluster radius when there are more neighbor CHs in order to balance the load and energy consumption. To resolve these problems, we propose a fault‐tolerant distributed ACO‐based routing (DACOR) protocol for mitigating the hot spot problem in fog‐enabled WSN architecture. To improve the performance of the network, we propose a multiple fog nodes (FNs) and unequal clustering‐based network model. The proposed model is energy efficient as it avoids repetitive clustering and affects CHs to FNs based on distance. Also, unlike the existing works which use either single FN/sink‐based unequal clustering or multiple FNs/sinks to mitigate hot spot problem, we propose to distribute unequal clustering to multiple FNs (partitions). Additionally, we formulate a different rule to calculate the cluster radius based on significant parameters ensuring energy efficiency and balancing. To route data from source to destination, we devise a new probabilistic formula which considers not only energy efficiency but also reliability. The performance of the proposed DACOR protocol has been investigated under different scenarios through simulations. The results show that the proposed DACOR protocol outperforms the existing protocols in terms of various main metrics.

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“…Settling the issue of routing by thinking about a few parameters is not adequate to attain the correspondence quality desired by the energy constrained WSNs applications particularly in complex and dense environments. For this reason, here an efficient and fundamental routing calculation exploiting the advantages of ant based system for the improvement in communications in finding the optimum path for data transmission is proposed and the vital correspondence parameters, for example, versatility, vitality and route length, are considered [16].…”

Section: Introductionmentioning

confidence: 99%

A novel bio-inspired routing algorithm based on ACO for WSNs

2019

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The methods to achieve efficient routing in energy constrained wireless sensor networks (WSNs) is a fundamental issue in networking research. A novel approach of ant colony optimization (ACO) algorithm for discovering the optimum route for information transmission in the WSNs is proposed here for optimization and enhancement. The issue of path selection to reach the nodes and vital correspondence parameters, for example, the versatility of nodes, their constrained vitality, the node residual energy and route length are considered since the communications parameters and imperatives must be taken into account by the imperative systems that mediate in the correspondence procedure, and the focal points of the subterranean insect framework have been utilized furthermore. Utilizing the novel technique and considering both the node mobility and the existing energy of the nodes, an optimal route and best cost from the originating node to the target node can be detected. The proposed algorithm has been simulated and verified using MATLAB and the simulation results demonstrate that new ACO based algorithm achieved improved performance, about 30% improvement compared with the traditional ACO algorithm, and faster convergence to determine the best cost route, and recorded an improvement in the energy consumption of the nodes per transmission.

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A Noble Approach of ACO Algorithm for WSN

Cited by 9 publications

References 13 publications

Efficient and Scalable Ant Colony Optimization based WSN Routing Protocol for IoT

Efficient and Scalable Ant Colony Optimization based WSN Routing Protocol for IoT

DACOR: A distributed ACO‐based routing protocol for mitigating the hot spot problem in fog‐enabled WSN architecture

A novel bio-inspired routing algorithm based on ACO for WSNs

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