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Energy Efficient Clustering and Routing in Mobile Wireless Sensor Network

SSN : 0975-3834
Journal from gdlhub / 2017-08-14 11:52:33
Oleh : Getsy S Sara, Kalaiarasi.R, Neelavathy Pari.S and Sridharan.D, International Journal of Wireless & Mobile Networks (IJWMN)
Dibuat : 2012-06-25, dengan 1 file

Keyword : Mobile Wireless Sensor Network, Energy Efficiency, Surplus Energy, Clustering.
Subjek : Energy Efficient Clustering and Routing in Mobile Wireless Sensor Network
Url : http://airccse.org/journal/jwmn/1110ijwmn09.pdf
Sumber pengambilan dokumen : Internet

A critical need in Mobile Wireless Sensor Network (MWSN) is to achieve energy efficiency during routing


as the sensor nodes have scarce energy resource. The nodes’ mobility in MWSN poses a challenge to


design an energy efficient routing protocol. Clustering helps to achieve energy efficiency by reducing the


organization complexity overhead of the network which is proportional to the number of nodes in the


network. This paper proposes a novel hybrid multipath routing algorithm with an efficient clustering


technique. A node is selected as cluster head if it has high surplus energy, better transmission range and


least mobility. The Energy Aware (EA) selection mechanism and the Maximal Nodal Surplus Energy


estimation technique incorporated in this algorithm improves the energy performance during routing.


Simulation results can show that the proposed clustering and routing algorithm can scale well in dynamic


and energy deficient mobile sensor network.

Deskripsi Alternatif :

A critical need in Mobile Wireless Sensor Network (MWSN) is to achieve energy efficiency during routing


as the sensor nodes have scarce energy resource. The nodes’ mobility in MWSN poses a challenge to


design an energy efficient routing protocol. Clustering helps to achieve energy efficiency by reducing the


organization complexity overhead of the network which is proportional to the number of nodes in the


network. This paper proposes a novel hybrid multipath routing algorithm with an efficient clustering


technique. A node is selected as cluster head if it has high surplus energy, better transmission range and


least mobility. The Energy Aware (EA) selection mechanism and the Maximal Nodal Surplus Energy


estimation technique incorporated in this algorithm improves the energy performance during routing.


Simulation results can show that the proposed clustering and routing algorithm can scale well in dynamic


and energy deficient mobile sensor network.

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