Multi-objective Optimization in Road Sensor and Actor Networks

In Road Sensor and Actor Networks, a lot of sensors and actors are arbitrarily deployed on public roads to gather real-time data on traffic and road conditions and ease decision making based on data gathered. Some actors could be put to inactive state to save energy and extend network lifetime. In this paper, the theme of selecting a set of running actors for coordinating data transmission in a road sensor and actor network with least amount communication cost and data error reduction is studied. A modified Non dominated sorting genetic algorithm (NSGA) is proposed. It is used to find which paths are minimizing cost and reducing data error. The usefulness of the proposed algorithms is confirmed using extensive simulations.