Scheduling Method to Improve Energy Consumption in Wireless Sensor Networks

Owing to the restricted energy supply, extending the network's existence as far as possible is a crucial consideration for the topology of wireless sensor networks. While planning and managing the mobility of sink nodes, this paper attempts to create an energy equilibrium in the system to optimize network life. To determine the network length, a general multi-ring structural model is created, taking data into account, energy usage for the transmission, reception, and wireless processing of data. To study the factors for determining the maximum network life, a general optimization model is developed that considers Ring depth, node densities and probabilities for transmitting the internal ring. In this paper, implement a new algorithm to increase network sensor node lifetime. A few sensors in closed areas are working and the others are fine. All nodes periodically change their status from active to good, desirable to neutral. Whereas optimum nodes require a limited time to test whether or not the disabled nodes are still disabled. If any failure nodes are present, the ideal sensor is active and senses the data. Although all nodes periodically alter their status, few nodes are involved and begin to sense data using their own resources. Therefore, the energy of ideal nodes is only stored and used while it is operating. The proposed algorithm provides almost optimal network life and efficiency six times better than the existing algorithm.