Simulation and Implementation of an Attractiveness based On-Demand Routing Algorithm for Wireless Sensor Networks

摘要

A sensor network with an on-demand data centric routing strategy is presented. The routing between the sensor nodes and the data sink(s) (base station/s) is based on attractiveness-metric (Pa) gradients for the data forwarding decisions within the network. The performance of Pa based routing was simulated by the multi-agent simulation tool NetLogo and compared with the popular and widely used Dynamic Source Routing (DSR) algorithm. Additionally, to test the long term stability and the performance of the Pa based routing algorithm, several sensor nodes for local temperature and humidity measurement were placed in wine yards to monitor the risk of downy mildew infection.