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引用次数: 22
摘要
传感器是世界上的新兴设备，导致无处不在和无处不在。为了方便用户使用，这些传感器在运行网络中的组织必须以自主和自我维持的方式进行。本文提出了BiO4SeL (Bio-Inspired Optimization for Sensor Network Lifetime)算法，这是一种以自主为主要目标的传感器网络路由算法，旨在优化传感器网络的生存期，即最大化全覆盖持续时间。BiO4SeL是基于群体智能，更具体地说，是基于蚁群。结果表明，与类似的方法:ARAMA(基于蚁群的路由算法)和AODV (Ad-hoc按需距离向量)相比，BiO4SeL实现了其目标。
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).
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