Energy efficiency and Data packet security for wireless sensor networks using African Buffalo Optimization
Optimization algorithms have been introduced to overcome optimization problems such as improving energy efficiency and performance of wireless sensor networks. Local control methods, such as ant colonization and optimization of opportunistic routing algorithms, are used to overcome the limitations that occur in the network's communication path. Maximizing control bits increases network power consumption. To overcome these limitations in a localized approach, the buffalo algorithm is implemented to distribute the functionality to the forwarding nodes for performing optimizations in the network. This article compares the performance of the buffalo algorithm with the ant colony optimization algorithm and opportunistic routing algorithm. Performance is evaluated for the ant colony optimization algorithm and the opportunity routing algorithm. First, we compare the ant colony optimization with the opportunistic routing algorithm, and compare the algorithm with the higher performance with the buffalo algorithm.