COOPERATIVE MIMO BASED CLUSTERING AND ENERGY OPTIMIZATION SCHEME IN WSN

In this work, we present an energy efficient hierarchical cooperative clustering scheme for

wireless sensor networks. Communication cost is a crucial factor in depleting the energy of

sensor nodes. In the proposed scheme, nodes cooperate to form clusters at each level of network

hierarchy ensuring maximal coverage and minimal energy expenditure with relatively uniform

distribution of load within the network. Performance is enhanced by cooperative multiple-input

multiple-output (MIMO) communication ensuring energy efficiency for WSN deployments over

large geographical areas. We compare the proposed scheme with cooperative multiple-input

multiple-output (CMIMO) clustering scheme and traditional multiple Single-Input-SingleOutput (SISO) routing approach. Performance is evaluated on the basis of number of clusters,

number of hops, energy consumption and network lifetime. Experimental results show

significant energy conservation and increase in network lifetime as compared to existing

schemes.

We have developed a protocol to make the cooperation between various nodes of a same cluster.

We have achieved spatial diversity in the sensor network. The result has been shown that if the

number of cooperative node in the cluster size increases then per node energy consumption

reduces rapidly