Energy efficient clustering and routing optimization model for maximizing lifetime of wireless sensor network

Savitha S, S C Linga Reddy, Sanjay Chitnis


Recently, wide adoption of wireless sensor networks (WSNs) is been seen for provision real-time and non-real-time application services such as health care monitoring, intelligent transportation etc. Provisioning these services requires energy efficient WSN. Clustering technique is an efficient mechanism that plays a major role in minimizing energy consumption of WSN. However, the existing model is designed considering minimizing energy consumption of sensor devicefor homogenous network. However, it incurs energy overhead among cluster head. Further, maximizing coverage time is not considered by existing clustering approach considering heterogeneous network affecting lifetime performance. To overcome these research challenges, this work presents an Energy Efficient Clustering and Routing Optimization (EECRO) model adopting cross layer design for heterogeneous network. The EECROuses channel gain information from physical layer and TDMA based communication is adopted for communication among both intra cluster and inter cluster communication. Further, clustering and routing optimization is presented to bring a good trade-off between minimizing energy of cluster head, enhancing coverage time and maximizing lifetime of sensor network. Experiments are conducted to evaluate performance of EECRO over existing model. Significant performance is attained by EECRO over existing model in terms of minimizing routing and communication overhead and maximizing lifetime of WSNs.


Clustering; Cross layer; Hop; Lifetime; WSNs

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