Particle Swarm Optimization for k-Coverage and 1-Connectivity in Wireless Sensor Networks DOI Open Access

Georgios Siamantas,

Dionisis Kandris

Electronics, Год журнала: 2024, Номер 13(23), С. 4841 - 4841

Опубликована: Дек. 8, 2024

Wireless Sensor Networks are used in an ever-increasing range of applications, thanks to their ability monitor and transmit data related ambient conditions almost any area interest. The optimization coverage the assurance connectivity fundamental for efficiency consistency Networks. Optimal guarantees that all points field interest monitored, while network nodes assures gathered reliably transferred among base station. In this research article, a novel algorithm based on Particle Swarm Optimization is proposed ensure objective function derived from energy minimization methodologies commonly applied bounded space circle packing problems. performance not only evaluated through both simulation statistical tests demonstrate efficacy methodology but also compared against relative algorithms. Finally, concluding remarks drawn potential extensibility actual use real-world scenarios.

Язык: Английский

A Novel Hybrid Metaheuristic Method for Efficient Decentralized IoT Network Layouts DOI

Ferzat Anka

Internet of Things, Год журнала: 2025, Номер unknown, С. 101612 - 101612

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Mitigating Dead Node Impact on Coverage and Connectivity in Wireless Sensor Networks Using a Hybrid Approach DOI Creative Commons
Omeed Kamal Khorsheed

ARO-The Scientific Journal of Koya University, Год журнала: 2025, Номер 13(1), С. 131 - 143

Опубликована: Апрель 17, 2025

Wireless sensor networks’ coverage and efficient connectivity are pivotal for reliable data collection communication. However, dead nodes, resulting from hardware failure or power depletion, can affect connectivity, leading to information loss degraded performance. Previous research in the same context indicates need further investigation achieve optimal trade-offs network resource allocation. This introduces a hybrid Artificial Bee Colony-Sequential Re-connectivity Coverage Algorithm (ABC-SRCA) approach, combining ABC algorithm with developed SRCA. The adjusts node placement maximize minimize holes, while SRCA restores by reconnecting when nodes fail. approach uses probabilistic selection explore various solutions, making adaptive diverse scenarios. simulation outcomes indicate that ABC-SRCA method enhances accuracy up 30% compared they used separately. In addition, rate of error detection decreases about 25%, highlighting method’s effectiveness dynamic conditions. also surpasses existing methods, including Genetic Algorithms Sensing Radius Adaptive Control (SRACC), achieving level 98% conserving resources. achieves better energy consumption than Particle Swarm Optimization (PSO) PSO Voronoi Diagram competent SRACC. provides an effective solution ensuring operations, supporting successful deployment WSNs applications.

Язык: Английский

Процитировано

0

Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization DOI Creative Commons

Muhammad Suhail Shaikh,

Chang Wang, Senlin Xie

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 5, 2025

Язык: Английский

Процитировано

0

A multi-objective metaheuristic method for node placement in dynamic IoT environments DOI Creative Commons
Farzad Kiani

Discover Internet of Things, Год журнала: 2025, Номер 5(1)

Опубликована: Май 22, 2025

Язык: Английский

Процитировано

0

Differential Evolution and Neural Network-Based Approach to Optimize Coverage Area of Wireless Sensor Network DOI
Victor Das, A. Banerjee, Ira Nath

и другие.

SN Computer Science, Год журнала: 2025, Номер 6(5)

Опубликована: Май 28, 2025

Язык: Английский

Процитировано

0

Particle Swarm Optimization for k-Coverage and 1-Connectivity in Wireless Sensor Networks DOI Open Access

Georgios Siamantas,

Dionisis Kandris

Electronics, Год журнала: 2024, Номер 13(23), С. 4841 - 4841

Опубликована: Дек. 8, 2024

Wireless Sensor Networks are used in an ever-increasing range of applications, thanks to their ability monitor and transmit data related ambient conditions almost any area interest. The optimization coverage the assurance connectivity fundamental for efficiency consistency Networks. Optimal guarantees that all points field interest monitored, while network nodes assures gathered reliably transferred among base station. In this research article, a novel algorithm based on Particle Swarm Optimization is proposed ensure objective function derived from energy minimization methodologies commonly applied bounded space circle packing problems. performance not only evaluated through both simulation statistical tests demonstrate efficacy methodology but also compared against relative algorithms. Finally, concluding remarks drawn potential extensibility actual use real-world scenarios.

Язык: Английский

Процитировано

1