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JOINT VIRTUAL MIMO AND DATA GATHERING
FOR WIRELESS SENSOR NETWORKS
ABSTRACT
Virtual multi-input multi-output (MIMO) or vMIMO is becoming an attractive
technology to achieve spatial diversity in wireless networks without using additional antennas,
and to reduce power consumption by cooperation among multiple nodes. As data gathering is
one of the most important operations in many sensor network applications, this paper studies
energy-efficient data gathering in wireless sensor networks using vMIMO. We define the joint
vMIMO and data gathering (vMDG) problem, which is NPhard. We also propose a distributed
method called D-vMDG as an approximation algorithm. This algorithm first constructs a tree-
like topology by taking the unique features of vMIMO into account. Then, an energy-efficient
routing protocol based on dynamic programming is proposed for each node on the constructed
topology. Our theoretical analysis shows that D-vMDG can achieve an approximation ratio of
Oð1Þ. Our simulations show that D-vMDG decreases the energy consumption by 81 and 36
percent compared to the well-known MDT [26] and MIMO-LEACH [19] algorithms
respectively.

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