An Energy-Efficient Mobility-Based Cluster Head Selection for Lifetime Enhancement of Wireless Sensor Networks

Umbreen, Sehar; Shehzad, Danish; Shafi, Numan; Khan, Bilal; Habib, Usman

doi:10.1109/access.2020.3038031

Cited by 47 publications

(22 citation statements)

References 35 publications

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“…With the objective of optimal head selection in hierarchical topology control, a solution based on fuzzy clustering and particle swarm optimization was proposed, mainly aimed at CH selection in hierarchical topology control, reducing the node mortality rate and prolonging the network life cycle [16]. Then, a CH selection based on energy-efficient mobility was proposed to achieve the channel selection and load balancing based on special parameters, which have a great impact on sensor energy consumption [17].…”

Section: Literature Reviewmentioning

confidence: 99%

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Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things

Zhong

et al. 2021

Energies

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In order to realize the intelligent management of a power materials warehouse, the Internet of Things based on wireless sensor networks (WSNs) is a promising effective solution. Considering the limited battery capacity of sensor nodes, the optimization of the topology control and the determination of the amount of collected data are critical for prolonging the survival time of WSNs and increasing the satisfaction of the warehouse supplier. Therefore, in this paper, an optimization problem on sensor association and acquisition data satisfaction is proposed, and the subproblem of the sensor association is modeled as the knapsack problem. To cope with it, the block coordinate descent method is used to obtain the suboptimal solution. A sensor association scheme based on the ant colony algorithm (ACO) is proposed, and the upper and lower bounds of this optimization problem are also obtained. After this, a cluster head selection algorithm is given to find the optimal cluster head. Finally, the experimental simulations show that the algorithms proposed in this paper can effectively improve the energy utilization of WSNs to ensure the intelligent management of a power materials warehouse.

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Section: Literature Reviewmentioning

confidence: 99%

“…2: Initialize (λ, ν) 1 and r 1 , r 2 , r 3 = 0. Update M r 1 according to Equation (14) Update (λ, ν) r 1 +1 according to Equations ( 16) and (17), respectively.…”

Section: Algorithm 2 Data Collection and Topology Control Based On Aco (Dctc)mentioning

confidence: 99%

Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things

Zhong

et al. 2021

Energies

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“…At the point when the network is heterogeneous, the values of reference of every node must vary regarding starting energy. In the case of a heterogeneous network, we have replaced the value of reference p optimal with a mass probability stated in equation.12.in the case of the normal and extraordinary node as Standard election protocol (SEP) convention (22)(23)(24)(25)(26) .…”

Section: Selection Of Cluster Headmentioning

confidence: 99%

An Optimal Energy Utilization of Cluster Routing Protocol for Wireless Sensor Network in Restricted Area

Pavithra¹,

Babu²

2021

IJST

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Objectives: To efficiently monitor the highly confined area by using security measurement methods to enhance the lifetime of a large area coverage network. Methods : the modified nodes are included in the normal execution process of the network to calculate the efficiency and lifetime of the WSN. With the help of the simulation and analysis process, the proposed protocol is found to be more powerful to impact the sustainability of the network by prolonging the lifetime of the nodes. To perform this operation, the following parameters are considered: Area of the monitoring area, Number nodes, Sink portion, Energies of radio amplifier systems, Data aggregation, node electronics, and data packet length. Findings: The proposed optimal energy cluster routing protocol finds the best topological structural protocol to select the cluster head with optimal connectivity path with other nodes in a group. The data of energy utilization, data communication rate between nodes and cluster head, and analysis of the number of alive nodes concerning time are obtained. Novelty: the proposed Optimal efficient cluster routing protocol (OECRP) selects the cluster head by considering energy consumption, cluster sustainability, and its proper communication with other nodes. OECRP is used to develop the optimal topological structural protocol to connectivity path with other nodes in a group.

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“…In specific, the optimal cluster head selection scheme is still classified into heuristic and meta-heuristic methods. These strategies are developed for providing solutions to optimization problems generally based on empirical nature with simple and compact theories [10]. Different heuristic algorithms were contributed in the literature for resolving the issues of heterogeneity [11].…”

Section: Introductionmentioning

confidence: 99%

Red Deer and Simulation Annealing Optimization Algorithm-Based Energy Efficient Clustering Protocol for Improved Lifetime Expectancy in Wireless Sensor Networks

Rajeswarappa

Vasundra

2021

Wireless Pers Commun

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Energy stability is considered as the core challenge of Wireless Sensor Networks (WSNs) as it is the main factor that contributes towards improved network lifetime expectancy. Clustering with maximized energy efficiency is determined to be the well documented NP hard optimization solution that has the possibility of resulting in prolonged network lifetime. Diversified number of computational approaches that includes nature inspired metaheuristic algorithms, reinforcement schemes and evolutionary algorithms were used for attaining efficient clustering process in WSNs. In this paper, Red Deer and Simulation Annealing Optimization Algorithm-based Energy Efficient Clustering Protocol (RDSAOA-EECP) is proposed for improving lifetime expectancy and energy stability in WSNs. This clustering protocol is proposed with the global optimization capability of the red deer optimization algorithm and local optimization potential of simulation annealing. In specific, RDA is used for diversification and Simulated Annealing (SA) for intensification in order to establish balance between them during the clustering process in order to sustain energy stability. This RDSAOA-EECP protocol is proposed with SA as the search tool that prevents the phases of fighting and roaring phases of RDA involved in the intensification process. Moreover, this clustering protocol inherits the potentialities of the proposed metaheuristic properties in order to achieve optimal cluster heads together with the optimal base station location for the objective of enhancing energy efficiency. The simulation results of the proposed RDSAOA-EECP protocol guaranteed its potentiality over the baseline clustering approaches in improving network lifetime, throughput, packet deliver rate with minimized network latency and energy consumptions independent to the homogeneous and heterogeneous sensor network setup considered for implementation.

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An Energy-Efficient Mobility-Based Cluster Head Selection for Lifetime Enhancement of Wireless Sensor Networks

Cited by 47 publications

References 35 publications

Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things

Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things

An Optimal Energy Utilization of Cluster Routing Protocol for Wireless Sensor Network in Restricted Area

Red Deer and Simulation Annealing Optimization Algorithm-Based Energy Efficient Clustering Protocol for Improved Lifetime Expectancy in Wireless Sensor Networks

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