FK-meansRA: Fuzzy K-Means Clustering Routing Algorithm for Load Balancing in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are resource constrained networks with sensors not only gathering data from surroundings but also acting as a relay for forwarding the data received from the previous layers. This gradually increases the data load on the subsequent nodes as the data progresses towards...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Wireless personal communications Ročník 130; číslo 2; s. 1071 - 1083
Hlavní autoři: Shah, Idris Afzal, Ahmed, Mushtaq
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.05.2023
Springer Nature B.V
Témata:
Algorithms
Cluster analysis
Clustering
Communications Engineering
Computer Communication Networks
Energy consumption
Engineering
Fuzzy logic
Load balancing
Networks
Nodes
Residual energy
Routing (telecommunications)
Sensors
Signal,Image and Speech Processing
Vector quantization
Wireless sensor networks
Fuzzy logic
K-means
Wireless sensor networks
LEACH
Cluster head selection
F
RA
ISSN:0929-6212, 1572-834X
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Wireless Sensor Networks (WSNs) are resource constrained networks with sensors not only gathering data from surroundings but also acting as a relay for forwarding the data received from the previous layers. This gradually increases the data load on the subsequent nodes as the data progresses towards the sink (Base Station) and results in what is called as “energy hole” problem; where a sensor node is completely drained off and hence the network breakdown takes place. Several load balancing schemes have been proposed to increase the network lifetime. With this objective in mind, this paper presents a novel fuzzy logic based K-means clustering routing protocol F K - means RA that handles the rotation of cluster heads (CHs) using fuzzy logic with K-means clustering in a random environment. Simulation has been carried out against the well known low-energy adaptive clustering hierarchy (LEACH) protocol with metrics viz. alive nodes, dead nodes, average residual energy, throughput and its observed that results of F K−means RA outperform the LEACH protocol.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-023-10320-8