Journal ArticleDOI
Hybrid HSA and PSO algorithm for energy efficient cluster head selection in wireless sensor networks
Reads0
Chats0
TLDR
The proposed hybrid HSA–PSO algorithm shows an improvement in residual energy and throughput by 83.89% and 29.00%, respectively, than the PSO algorithm and exhibits high search efficiency of HSA and dynamic capability of PSO that improves the lifetime of sensor nodes.Abstract:
Energy efficiency is a major concern in wireless sensor networks as the sensor nodes are battery-operated devices. For energy efficient data transmission, clustering based techniques are implemented through data aggregation so as to balance the energy consumption among the sensor nodes of the network. The existing clustering techniques make use of distinct Low-Energy Adaptive Clustering Hierarchy (LEACH), Harmony Search Algorithm (HSA) and Particle Swarm Optimization (PSO) algorithms. However, individually, these algorithms have exploration-exploitation tradeoff (PSO) and local search (HSA) constraint. In order to obtain a global search with faster convergence, a hybrid of HSA and PSO algorithm is proposed for energy efficient cluster head selection. The proposed algorithm exhibits high search efficiency of HSA and dynamic capability of PSO that improves the lifetime of sensor nodes. The performance of the hybrid algorithm is evaluated using the number of alive nodes, number of dead nodes, throughput and residual energy. The proposed hybrid HSA–PSO algorithm shows an improvement in residual energy and throughput by 83.89% and 29.00%, respectively, than the PSO algorithm.read more
Citations
More filters
Journal ArticleDOI
A bearing fault and severity diagnostic technique using adaptive deep belief networks and Dempster–Shafer theory:
Kun Yu,Tian Ran Lin,Jiwen Tan +2 more
TL;DR: It is shown that the accuracy for bearing fault and severity diagnosis can be substantially improved by using the current framework, and the effectiveness of the framework is evaluated on a set of bearing condition monitoring data.
Journal ArticleDOI
MOTCO: Multi-objective Taylor Crow Optimization Algorithm for Cluster Head Selection in Energy Aware Wireless Sensor Network
Jacob John,Paul Rodrigues +1 more
TL;DR: The analysis proves that the proposed MOTCO outperforms the existing methods by attaining the network energy and throughput at a maximum value of 10% and 65% at the 2000th round.
Journal ArticleDOI
Hybrid sine cosine artificial bee colony algorithm for global optimization and image segmentation
Shubham Gupta,Kusum Deep +1 more
TL;DR: An attempt has been made toward the removal of the drawbacks from the classical ABC by proposing a novel hybrid method called SCABC algorithm, which hybridizes the ABC with sine cosine algorithm (SCA) to upgrade the level of exploitation and exploration in the classicalABC algorithm.
Posted Content
Whale Optimization Based Energy-Efficient Cluster Head Selection Algorithm for Wireless Sensor Networks.
Ashwin R. Jadhav,T. Shankar +1 more
TL;DR: An energy efficient cluster head selection algorithm which is based on Whale Optimization Algorithm called WOA-Clustering (WOA-C) is proposed and helps in selection of energy aware cluster heads based on a fitness function which considers the residual energy of the node and the sum of energy of adjacent nodes.
Journal ArticleDOI
Mobile sink-based energy efficient cluster head selection strategy for wireless sensor networks
TL;DR: This study introduced a mobile sink based energy aware clustering mechanism to enhance the lifetime of the network by overcoming the issue of energy holes and represents the proficiency of the proposed MSECA protocol over traditional techniques in term of network lifetime, packet delivery ratio and packet delay.
References
More filters
Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Journal ArticleDOI
Wireless sensor networks: a survey
TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
Proceedings ArticleDOI
Energy-efficient communication protocol for wireless microsensor networks
TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.
Energy-efficient communication protocols for wireless microsensor networks
TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
Journal ArticleDOI
An application-specific protocol architecture for wireless microsensor networks
TL;DR: This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.