A common solution used to study such phenomena is the utilization of discrete event models and simulators.
Understanding their dynamics in order to predict their future states is a challenging procedure involving the propagation of several events concerning, e.g., the transfer of energy or material. Phenomena in ecosystems such as forest fires, oil spills, tornados, etc., are complex processes both in time and space. The simulation results show superiority and efficiency of the proposed approach for the energy preservation, even if we consider a large network size. According to the network topology, an adaptive frame periods adjustment procedure is executed to select the suitable timing periods that reduce the sensor node activities without exceeding the timing constraints. It is made by a new association/re-association procedure that creates links and paths between nodes with respect to the two constraints. The reorganization is made locally according to the node states with regard to the fire detection events.
In this paper, we propose a new approach Auto-organization, Adaptive frame Periods for forest Fire detection for multi-level optimization based on the network topology reorganization, and the frame activity period optimization according to the energy preservation and also the fire detection timing constraints. The most relevant question is how we can maintain a long lifetime for the network with the need of fast and active sensor devices for the fire detection. Using efficiently the wireless sensor networks based on IEEE 802.15.4/zigbee remains a real challenge for the forest fire detection and monitoring applications.
0 kommentar(er)
