Abstract

AbstractOwing 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 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 takes into account 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. There are any failure nodes, and then the ideal one gets active to senses data. Although all the nodes in the network periodically alter their status, few nodes are involved and begin to senses data using their 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 better up to six times when compared with the existing algorithm.KeywordsWSNMulti-ring structural modelReceptionOptimal network lifetimeEnergySchedulingWSN

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