DocumentCode
2362548
Title
Hierarchical MIMO: A clustering approach for Ad hoc wireless sensor networks
Author
Nasim, Mehwish ; Qaisar, Saad
Author_Institution
Core Commun. & Networks Lab., NUST Sch. of Electr. Eng. & Comput. Sci., Islamabad, Pakistan
fYear
2010
fDate
17-19 March 2010
Firstpage
1
Lastpage
6
Abstract
MIMO based communication protocols have been proposed for energy conservation in wireless sensor networks. In this paper we present an energy efficient clustering framework. We implement a hierarchical clusterhead selection algorithm which chooses the clusterheads and the cooperating nodes to achieve high energy gains in cooperative MIMO communication. The algorithm selects the clusterhead on the basis of residual energy of the nodes. The reclustering approach ensures minimum disturbance in the network. The local communication within a cluster takes place via SISO. Each cluster is led by a clusterhead. The clusterhead and cooperative node forward data to the routing clusterheads via 2Ã2 MIMO. The data is further relayed via MIMO until it reaches the base station.We evaluate our proposed scheme on the basis of analytical and simulation results. The results show significant energy conservation if packets are routed via hierarchical MIMO.
Keywords
MIMO communication; ad hoc networks; telecommunication network routing; wireless sensor networks; MIMO based communication protocols; SISO; ad hoc networks; clustering approach; cooperative MIMO communication; energy conservation; hierarchical MIMO; routing clusterheads; wireless sensor networks; Base stations; Batteries; Clustering algorithms; Computer science; Energy conservation; Energy efficiency; MIMO; Routing; Wireless application protocol; Wireless sensor networks; MIMO; Wireless sensor networks; energy efficiency;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Sciences and Systems (CISS), 2010 44th Annual Conference on
Conference_Location
Princeton, NJ
Print_ISBN
978-1-4244-7416-5
Electronic_ISBN
978-1-4244-7417-2
Type
conf
DOI
10.1109/CISS.2010.5464708
Filename
5464708
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