[PDF] Top 20 A Novel Co-evolution based Particle Swarm Optimization for Clustering in Wireless Sensor Networks
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A Novel Co-evolution based Particle Swarm Optimization for Clustering in Wireless Sensor Networks
... many clustering algorithms have been proposed, out of which LEACH [5] is the most popular ...Adaptive Clustering Hierarchy (LEACH) the CH is chosen randomly and then the role is assigned to other nodes to ... See full document
5
Energy Efficient Clustering Protocol for Wireless Sensor Networks using Particle Swarm Optimization Approach
... ordinary sensor nodes which can expire rapidly for this additional work ...balanced clustering algorithm for wireless sensor ...A novel evolutionary approach for load balanced ... See full document
9
Local Search Binary Particle Swarm Optimization (LSBPSO) MAC Clustering With Genetic Algorithms for Wireless Sensor Networks
... a novel Cross-Layer MAC protocol (CL- MAC) for WSNs, for the efficient handling of multi- packet, multi-hops as well as multi-flow traffic patterns and at the same time adjusting to a great variety of traffic ... See full document
7
A novel energy-aware cluster head selection based on particle swarm optimization for wireless sensor networks
... In this paper, we have applied PSO for selecting the cluster heads by optimizing cer- tain performance criteria. Our cluster-based strategy enhances network performance as compared to certain existing techniques. ... See full document
18
Research on range free location algorithm for wireless sensor network based on particle swarm optimization
... years, particle swarm optimization (PSO), as a bio-evolutionary algorithm, has attracted much attention and played an important role in solving optimization ...rapid optimization, thus ... See full document
8
A Particle Swarm Optimization Based Load Scheduling Algorithm in Cloud Platform for Wireless Sensor Networks
... for sensor nodes and networks gateway and minimizes the traffic overhead and bandwidth ...and wireless sensor networks and then discusses two popular job scheduling algorithms namely ... See full document
12
Mobile base station for wireless sensor networks using particle swarm optimization
... of wireless sensor networks with constrained sensor nodes ...in wireless sensor networks, which are static positioning and dynamic ...first sensor node to die and ... See full document
29
Novel Metaheurist Technique for Attack Detection Technique in Wireless Multimedia Sensor Networks
... a novel metaheuristic technique i.e., triangular mutation based particle swarm optimization is proposed to detect attacks in wireless multimedia ...Interference based ... See full document
6
Optimization of Wireless Sensor Networks Based on Differential Evolution Algorithm
... (2015), based on the GA, analyzed the WSN and proposed an optimal multipath routing algorithm in the WSN ...globally based on the information resources of the base ...the optimization mechanism can ... See full document
13
Routing Attacks Detection Method of Wireless Sensor Network
... K-Means clustering algorithm depends on the initial value selection and it is easy to converge at the local extreme, this paper combines particle swarm optimization algorithm with K-Means ... See full document
11
A Survey on Hierarchical Based Routing Protocols for Wireless Sensor Networks
... an optimization technique in which natural species social behaviors are contemplated for the objective of computation, brought in by Kennedy and Eberhert ...a swarm intelligence technique which is a ... See full document
6
Energy Optimization in Clustering for Wireless Sensor Networks Using Firefly Algorithm
... aware clustering for wireless sensor networks using Particle Swarm Optimization (PSO) algorithm, which is implemented at the base ...the particle position that ... See full document
5
QPSO-based energy-aware clustering scheme in the capillary networks for Internet of Things systems
... Quantum-inspired particle swarm optimization (QPSO) combines the advantages of the quantum computing theory and the evolutionary ...adopts novel rotation angle and quantum bit techniques so it ... See full document
6
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization
... Recently, machine learning methods have been also used to model the problem. However, the application of machine learning has been mainly limited to artificial neural networks (ANNs) [11-15]. Gundoshmian et al. ... See full document
6
A Study of recent classification algorithms and a novel approach for biosignal data classification
... in clustering, such as the fast convergence and degree of memberships which makes the clustering more realistic rather than crisp clustering, it also suffers from various ...the clustering as ... See full document
113
A Review on Clustering Web data using PSO
... and clustering are the main challenging tasks in web data mining, which requires an efficient clustering ...different clustering techniques, helpful for web data ...such novel approach we ... See full document
6
Elephant Herding Optimization for Energy-Based Localization
... in wireless sensors networks (WSNs) has been commonly used in several real life applications, such as explorations (deep water, outer space, underground), surveillance, monitoring, ... See full document
13
A Literature Review on Novel Cluster Analysis...
... Additionally, an external flash memory can be used to provide secondary storage. Two approaches have been adopted for the design of sensing equipment [7]. The first approach uses a sensing board that can be attached to ... See full document
5
Efficient Energy and Data Collection in Wireless Sensor Networks Using Leach Based Clustering Technique
... the sensor networks the mobile agents are planned and projected for the efficient data collection, the multiple transmission of source to target are calculated by the cluster based architecture, ... See full document
6
THIN FILM ROUGHNESS OPTIMIZATION IN THE TIN COATINGS USING GENETIC ALGORITHMS
... Based on this analysis, it can be clearly observed that the proposed algorithm overcomes the drawbacks of BEENISH[8] and iBEENISH, by being highly efficient in CH election and with higher stability period as well. ... See full document
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