Usage of Swarm Intelligence Algorithms in Wireless Sensor Networks

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dc.contributor.advisorGál, Zoltán
dc.contributor.authorNsubuga, Joseph
dc.contributor.departmentDE--Informatikai Kar
dc.date.accessioned2023-04-25T10:23:05Z
dc.date.available2023-04-25T10:23:05Z
dc.date.created2023-04-24
dc.description.abstractWireless Sensor Networks (WSNs) consist of small sensors that collect data and communicate wirelessly to form a network. However, WSNs face challenges such as limited resources and harsh environments, making traditional centralized approaches to network management inefficient. Swarm intelligence algorithms, inspired by social organisms like ants and bees, offer a decentralized approach to network management that can improve fault tolerance, robustness, and resource usage. These algorithms can be used for data aggregation, routing, localization, scheduling, node deployment, and energy management. Different variants of swarm intelligence algorithms will be evaluated in Python programming environment to test their performance. Overall, swarm intelligence has the potential to significantly improve the efficiency and dependability of WSNs and is expected to play a larger role in future WSN applications.
dc.description.correctorN.I.
dc.description.courseComputer Science Engineering MSc
dc.description.degreeMSc/MA
dc.format.extent67
dc.identifier.urihttps://hdl.handle.net/2437/350772
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectSwarm Intelligence
dc.subjectWireless Sensor Networks
dc.subjectIoT communication Technologies
dc.subjectAlgorithms
dc.subject.dspaceDEENK Témalista::Informatika::Informatikai hálózatok
dc.titleUsage of Swarm Intelligence Algorithms in Wireless Sensor Networks
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