Double Cluster Head Heterogeneous Clustering for Optimization in Hybrid Wireless Sensor Network

Preethiya, T.; Muthukumar, A.; Durairaj, S.

doi:10.1007/s11277-019-06810-3

Cited by 25 publications

(14 citation statements)

References 18 publications

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“…Preethiya et al [12] created the Mobile Double Cluster Head-PSO (MDCH-PSO) method to improve hybrid WSN lifespan and load balancing. It was accomplished by decreasing the amount of energy spent on checking member nodes by CH and the amount of energy spent on mobility management.…”

Section: Review Of Literaturementioning

confidence: 99%

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Increase the WSN-Lifespan Used in Monitoring Forest Fires by PSO

Al-Hilfi¹,

Al-Nayar²

2022

MMEP

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The Wireless Sensor Networks (WSNs) have become the most cost-effective monitoring solution due to their low cost, despite their major drawback of limited power due to dependence on batteries. Clustering is one of the successful solutions for extending the life of the WSN. Where optimal CH selection results in an increase in the lifetime of WSN. The paper discusses a strategy for field deployment of nodes in the form of clusters and a method for Cluster Head (CH) selection using Particle Swarm Optimization (PSO). The method employs a fitness function to select the optimum CHs for cluster nodes. This paper simulates a case study for the early detection of forest fires and demonstrates how to extend the lifetime of a WSN by utilizing the proposed PSO algorithm.

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Section: Review Of Literaturementioning

confidence: 99%

“…After reviewing the aforementioned literature [11][12][13][14][15][16], it is apparent that. Notwithstanding its success in prolonging the life of WSNs and optimizing CH selection, it is not designed for a particular application.…”

Section: Review Of Literaturementioning

confidence: 99%

Increase the WSN-Lifespan Used in Monitoring Forest Fires by PSO

Al-Hilfi¹,

Al-Nayar²

2022

MMEP

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“…However, complexity and implementation in realistic environments are among common issues associated with this approach. Zarin et al [26] have presented a central controller node-enabled approach to distribute traffic uniformly throughout the networks where radio signals are utilized to balance energy consumption of active nodes in an operational heterogeneous WSN. A common issue with this approach is that reliable communication among mobile nodes and base station is not guaranteed.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Smart Weighted and Neighborhood-enabled Load Balancing Scheme for Constraint Oriented Networks

Almaiah¹

2020

IJACSA

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In Wireless Sensor Networks (WSNs), uniform load or traffic distribution strategy is one of the main challenging issues, which is tightly coupled with the resource-limited networks. To address this problem, various mechanisms have been developed and presented in the literature. However, these approaches were either application specific that is designed for a specific application area such as smart building or overlay complex. Therefore, a simplified and energy efficient loadbalancing scheme is always needed for the resource-limited networks. In this paper, an efficient and neighborhood-enabled load-balancing scheme is presented to resolve the aforementioned issues specifically with available resources. For this purpose, the proposed scheme bounds every member node to collect various information about neighboring nodes i.e., those nodes resides in its communication range. Moreover, if residual energy Er of sensor node is less than the defined threshold value then it shares this information with neighboring nodes. In the proposed neighborhood-enabled load balancing scheme, every sensor node Ci prefers to route packets through the optimal paths particularly those paths where probability of critical nodes is negligible i.e., path where critical node(s) are not deployed. Simulation results showed that the proposed neighborhoodenabled load-balancing scheme is better than existing approaches in terms of network lifetime (both individual node and whole WSNs), throughput, and average packet delivery ratio and endto-end delay performance metrics.

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“…Hierarchical clustering method LEACH, in particular, is considered as the gold standard for topology management [4]. Although the network's endurance was extended, a part of the network's sensor nodes died prematurely because of the randomization involved in the gathering of cluster heads [5].…”

Section: Introductionmentioning

confidence: 99%

OA-PU Algorithm-to Enhance WSN Life Time with Cluster Head Selection

Nageswari¹,

Maheswar²,

Jayarajan³

2022

Intelligent Automation &Amp; Soft Computing

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Clustering is the most popular strategy for increasing the lifetime of a wireless sensor network, which immediately leads to a stronger routing process. This process requires the processing of sensor nodes into clusters and assigning relevant cluster heads to each cluster. This paper aims to implement a new hybrid algorithm called Over taker Assisted Political Update (OA-PU) for selecting an efficient cluster head. This cluster head is selected based upon four factors, namely energy, distance, cluster radius, and time. The hybrid algorithm is a combination of the Fusion Rider Optimization Algorithm (F-ROA) as well as a natureinspired Political Optimization Algorithm (PO). Fusion-ROA depends on groups of riders that are attempting to reach the goal and PO is a state of the art metaheuristic optimization methodology for global and structural analysis performance prediction in the WSN environment. In terms of alive node analysis, cost function analysis, and energy analysis, the proposed OA-PU outperforms conventional approaches. Consequently, the lifetime of WSN is increased and an optimal system is developed.

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Double Cluster Head Heterogeneous Clustering for Optimization in Hybrid Wireless Sensor Network

Cited by 25 publications

References 18 publications

Increase the WSN-Lifespan Used in Monitoring Forest Fires by PSO

Increase the WSN-Lifespan Used in Monitoring Forest Fires by PSO

An Efficient Smart Weighted and Neighborhood-enabled Load Balancing Scheme for Constraint Oriented Networks

OA-PU Algorithm-to Enhance WSN Life Time with Cluster Head Selection

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