An Enhanced Energy Conserving Sensor Scheduling Scheme for Wireless Sensor Networks

Energy optimization, maximizing coverage, and maintaining reliable network connectivity are critical challenges in densely deployed wireless sensor networks (WSN s), especially in unconventional environments like underwater and underground sensor networks. Therefore, in such type of energy constrained WSN s, it is essential to minimize energy consumption by scheduling sensors with higher residual energy, while maximizing coverage and maintaining connectivity. This research work proposes optimization algorithms-based sleep-awake mechanisms to optimize performance in energy-constrained sensor networks. Using optimization techniques to periodically schedule sensors into sleep mode reduces redundancy, conserves energy, and extends network lifetime.