Performance Evaluation of Energy Efficient Protocol Based on ACO and Compressive Sensing

Supreet Kaur, Rajiv Mahajan

Abstract


Through fast improvements in wireless communications, energy efficiency has recently turned out to be the primary issue in wireless sensor networks. Therefore, energy conservation and balancing of energy dissipation become more challenging problem to improve the lifetime of sensor devices. The hybridization of clustering and tree based aggregation for sensor networks have been found to be a proficient way to enhance the network lifetime. Captivating motivation from nature-inspired optimization; this research work proposes an ACCGP protocol which utilizes clustering, Ant Colony Optimization (ACO) based routing and compressive sensing for wireless sensor networks that decomposes the sensor network into numerous segments called clusters, and cluster heads. Then, ACO based data aggregation comes in action and collects sensing information directly from cluster heads by utilizing short distance communications. The compressive sensing reduces the amount of data and transfers it to sensor network. The simulation analysis shows that the ACCGP protocol considerably enhances network lifetime by conserving the energy in the more efficient manner than other protocols at present deployed for sensor networks


Keywords


Ant colony optimization, Energy efficient Wireless sensor networks, GSTEB

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References


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