Optimizing Node Coverage and Lifespan of Body Area Network using Swarm Intelligence

Swarm intelligence (SI) is the group performance of decentralized, self-organized systems, natural or artificial. Swarm intelligence techniques are heuristic stochastic processes.SI approaches can be generalized follows: All approach is a release with a set of a solution called group, and then in the following steps, each applicant of the collection learns together from other candidates and adapt itself in agreement to the resolution space. The approach included and knowledge mechanism of these techniques mostly minimum the essential information and phenomenon. Such nature-inspired mathematical models can be plugged into one framework. The applicability of a discrete version of a popular benchmark swarm intelligence algorithm called and its hybrid version for energy-optimized Body Area Sensor Network (BASN) using node coverage and network lifespan. Mainly successful classes of swarm intelligence (SI) based algorithm for solving energy-based life span optimization problem. The energy model for BASN by considering node coverage simulated in the Network Simulation tool (NS-2) environment.