Journal of Theoretical and Applied Information Technology
Latest techniques in micro processing, wireless and battery technology and smart sensors have enriched data processing, wireless communication and detection skill. In sensor networks, each sensor node has some degree of wireless computational power to process and transfer the live data to the data collection centre. This paper proposes an enhanced error node regaining algorithm to prolong the lifespan of a wireless sensor network when some of the sensor nodes power down. This algorithm is mainly based on the genetic algorithm. The efficiency of the energy can be enhanced by the sparse or compressive sensing feature.