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 Net...

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Hauptverfasser:	Ribeiro, Levi Bayde, de Castro, Miguel Franklin
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Ant colony optimization Batteries Biosensors Intelligent sensors Monitoring Particle swarm optimization Pervasive computing Routing Software algorithms Temperature sensors
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Beschreibung
Zusammenfassung:	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).
DOI:	10.1109/ICTEL.2010.5478805