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001-es BibID:	BIBFORM118581
Első szerző:	Filep Levente (PhD. hallgató)
Cím:	Energy Consumption Based Analysis of the Swarm Intelligence Routing Mechanisms in Wireless Sensor Networks / Levente Filep, Peter Polgar, Zoltan Gal
Dátum:	2024
Megjegyzések:	Wireless Sensor Networks (WSNs) featuring autonomous sensors with scalable, self-organizing, and real-time data acquisition capabilities are indispensable for applications demanding efficient and cost-effective solutions. These sensors typically equip a limited and finite energy source; hence, the challenge lies in optimizing energy consumption to extend the operational lifespan of sensors and, thus, the overall WSN. In this paper, we explore eight Swarm Intelligence (SI) algorithms to optimize the power usage of each sensor node. We tested the selected SI algorithms on four different topologies, each with ten test scenarios. We observe that results from some algorithms are highly dependent on the topology, namely the generation method used for MT placement, while others are not. We also introduce the probability of algorithm success (PoAS) metric to better characterize their behavior. Presented results are evaluated and interpreted considering multiple aspects: best result, result scattering, PoAS and execution timing-ratio. Finally, we rank them considering all these aspects.
ISBN:	978-84-09-58219-8
Tárgyszavak:	Műszaki tudományok Informatikai tudományok könyvfejezet könyvrészlet Wireless Sensor Networks Swarm Intelligence SI Algorithm Analysis Probability of Algorithm Success
Megjelenés:	Automation, Robotics & Communications for Industry 4.0/5.0 ARCI' 2024 Conference Proceedings / Sergey Y. Yurish. - p. 249-255. -
További szerzők:	Polgár Péter (1996-) (informatikus) Gál Zoltán (1966-) (informatikus)
Pályázati támogatás:	TKP2021-NKTA-34 Egyéb
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