Energy-Aware Sink Node Localization Algorithm for Wireless Sensor Networks
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Summary
This paper proposes a novel algorithm based on a Particle Swarm Optimization (PSO) approach for designing an energy-aware topology control protocol and reveals significant effectiveness to both topology construction and maintenance phases of a topology Control Protocol.
- Type
- article
- Published
- 2015-07-01
- Cited by
- 23
- References
- 25
- Access
- Open access
- OpenAlex
- https://openalex.org/W1904315321
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:42679055
Keywords
Computer science, Wireless sensor network, Computer network, Topology control, Sink (geography)
References
- ACOS: An Area-based Collaborative Sleeping Protocol for Wireless Sensor Networks
- Topology Control in Wireless Sensor Networks: with a companion simulation tool for teaching and research
- Approximation algorithms for two optimal location problems in sensor networks
- Gaussian particle swarm with jumps
- Empirical study of particle swarm optimization
- Sink Node Placement Strategies for Wireless Sensor Networks
- Topology control in wireless ad hoc and sensor networks
- SOPK: Second Opportunity Pairwise Key Scheme for Topology Control Protocols
- Study of the effects of pairwise key pre-distribution scheme on the performance of a topology control protocol
- Efficient solution techniques for the integrated coverage, sink location and routing problem in wireless sensor networks
- Identification of Bouc-Wen hysteretic systems using particle swarm optimization
- A3: A Topology Construction Algorithm for Wireless Sensor Networks
- p-Median theorems for competitive locations
- Joint mobility and routing for lifetime elongation in wireless sensor networks
- A3Cov: A new topology construction protocol for connected area coverage in WSN
- A novel energy-aware cluster head selection based on particle swarm optimization for wireless sensor networks
- On energy provisioning and relay node placement for wireless sensor networks
- A WSNs routing protocol based on clustering and improved ACO for the SDPM
- A survey of military applications of wireless sensor networks
- Minimizing the Maximum Delay in Wireless Sensor Networks by Intelligent Sink Placement
Cited by
- Grey Wolves Optimizer-based localization approach in WSNs
- Soft computing techniques to address various issues in wireless sensor networks: A survey
- Utilizing Cat Swarm Optimization in Allocating the Sink Node in the Wireless Sensor Network Environment
- Maximizing lifetime of large-scale wireless sensor networks using multi-objective whale optimization algorithm
- Clustering Protocol in Wireless Sensor Networks Using Cuckoo Search and Fuzzy Algorithm
- Optimizing topologies in wireless sensor networks: A comparative analysis between the Grey Wolves and the Chicken Swarm Optimization algorithms
- Sink Node Placement Strategies based on Cat Swarm Optimization Algorithm
- Optimal Sink Node Placement in Large Scale Wireless Sensor Networks Based on Harris’ Hawk Optimization Algorithm
- SALP Swarm Optimization Approach for Maximization The Lifetime of Wireless Sensor Network
- A Review of Metaheuristic Optimization Algorithms in Wireless Sensor Networks
- Research on Optimization of Distributed Node Location Algorithm in Wireless Sensor Networks
- An Improved Sunflower Optimization Algorithm for Cluster Head Selection in the Internet of Things
- Optimal Coverage and Connectivity in Industrial Wireless Mesh Networks Based on Harris’ Hawk Optimization Algorithm
- MBASE: Meta-heuristic Based optimized location allocation algorithm for baSE station in IoT assist wireless sensor networks
- A Nested Genetic Algorithm-Based Optimized Topology and Routing Scheme for WSN
- Metaheuristic algorithms and their applications in wireless sensor networks: review, open issues, and challenges
- Dynamic Load-Balanced Sink Placement (DLBSP) Algorithm for WSNs in IoT
- Hybrid PSO-GA-Based Base Station Placement for Balancing Energy Consumption and Delay Among Cluster Heads in Clustered WSNs
- SALP Swarm Optimization Approach for Maximization The Lifetime of Wireless Sensor Network
- An Optimized K-Nearest Neighbor Algorithm for Extending Wireless Sensor Network Lifetime
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