DocumentCode :
3529869
Title :
Clustering Algorithms in MANETs: A Review
Author :
Alinci, Mirjeta ; Spaho, Evjola ; Lala, Algenti ; Kolici, Vladi
Author_Institution :
Dept. of Electron. & Telecommun., Polytech. Univ. of Tirana, Tirana, Albania
fYear :
2015
fDate :
8-10 July 2015
Firstpage :
330
Lastpage :
335
Abstract :
A Mobile Ad hoc Network (MANET) is a multihop wireless network in which the mobile nodes are dynamic in nature and has a limited bandwidth and minimum battery power. Due to this challenging environment the mobile nodes can be grouped into clusters to achieve better stability and scalability. Grouping the mobile nodes is called clustering, in which a leader node is elected to manage the entire network. In this paper, we consider the various approaches for clustering focus on different performance metrics. Each cluster contain a particular node called cluster head which is elected as cluster head according to the specific metric or combination of metrics such as mobility, energy, degree, weight etc. In this survey paper, we study some clustering schemes such as Mobility-based clustering, Energy-efficient clustering, Connectivity-based clustering, Weighted-based clustering and discuss their advantages and disadvantages.
Keywords :
mobile ad hoc networks; mobility management (mobile radio); pattern clustering; MANET; cluster head; clustering focus; clustering schemes; connectivity-based clustering; energy-efficient clustering; mobile ad hoc network; mobile nodes; mobility-based clustering; multihop wireless network; weighted-based clustering; Ad hoc networks; Algorithm design and analysis; Clustering algorithms; Heuristic algorithms; Measurement; Mobile computing; Prediction algorithms; Algorithms; Cluster head; Clustering; MANET;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on
Conference_Location :
Blumenau
Print_ISBN :
978-1-4799-8869-3
Type :
conf
DOI :
10.1109/CISIS.2015.47
Filename :
7185207
Link To Document :
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