BiO4SeL: A Bio-Inspired routing algorithm for Sensor Network Lifetime Optimization

Sensors are emerging devices on a world leading to ubiquity and pervasiveness. For the sake of users´ convenience, the organization of these sensors in operational networks must be done in an autonomic and self-sustained way. This paper proposes BiO4SeL (Bio-Inspired Optimization for Sensor Network Lifetime), a biologically-inspired routing algorithm for sensor networks where the main goal is autonomy, while aiming to optimize the sensor networks´ lifetime, i.e., the maximization of the full coverage duration. BiO4SeL is based on Swarm Intelligence, more specifically on Ant Colonies. Results show that BiO4SeL achieves its objectives when compared with similar approaches: ARAMA (Ant-based Routing Algorithm for Manets) and AODV (Ad-hoc On-demand Distance Vector).