MLO: Multi-level Optimization to Enhance the Network Lifetime in Large Scale WSN

Ensuring the optimal energy efficiency is one of the unsolved problems in Wireless Sensor Networks (WSN) owing to varying power requirements of hardware components of sensors, massive load on data aggregation and less efficient energy aware routing policies. Hence, this paper describes a multi-level optimization (MLO) for the purpose of enhancing the network lifetime in WSN. The techniques discussed in this paper uses graph theory for formulating data aggregation and uses first order radio-energy model for evolving up with novel routing condition to attain less depletion of energy while performing data aggregation. The outcome of the study was compared with standard LEACH algorithm with respect to energy consumption and time to find MLO is better than LEACH.