1.09k likes | 3.96k Views
Wireless sensor networks for Forest fire detection. OUTLINE. INTRODUCTION TYPES OF SENSOR NODES MOTE ARCHITECTURE APPLICATION AS A FOREST FIRE DETECTION CONCLUSION. Communication architecture of Sensor networks. 4. Types of Sensor Nodes(motes). Gateway’s Nodes Common Nodes.
E N D
OUTLINE • INTRODUCTION • TYPES OF SENSOR NODES • MOTE ARCHITECTURE • APPLICATION AS A FOREST FIRE DETECTION • CONCLUSION
Types of Sensor Nodes(motes) • Gateway’s Nodes • Common Nodes
Applications1.Military applications 2.Health applications 3.Commercial applications 4.Environmental applications 4.1 Habitat Monitoring 4.2 Forest Fire Detection
Animals as Mobile Biological Sensors For forest Fire Detection
Method of detection in Proposed System • Thermal detection • Animal Behavior Classification.
Data gather from MBSs Normal Abnormal
Objectives to be thought of: • How reliably and timely can the system detect a physical stimulus? • How well does the system detect, localize or track physical stimuli? • How does the system perform in the presence of node or link failures as wells as malicious attacks?
Tools to be used • Wireless Sensor Nodes • Navigator (GPS) • Computer • TinyOS Embedded wireless sensor software • NesC, Simulator
Resource Requirement • Permission to study the behavior of animal and to use in the experimental setup. • MOTES used as a sensor, costing $1225.00 a Kit
Advantages • More dynamic and wider detection as compared to fixed sensors. • Reduction in cost. • Unreachable areas can now be controlled by MBSs. • To detect poaching, and monitor comprehensive animal deaths. • Proposed methods are very convenient and can easily detect.
DISADVANTAGES Neither easy to capture suitable animals from the environment nor equip them with sensors. • Possibility of lack of appropriate animals for special forests. • Determining climate conditions, daily temp differences, seasonal normal temp values, etc. are problematic. • Use of batteries create environmental pollution, introducing extra radiation and cadmium to the forest and animals. • Moreover, each battery needs to be changed periodically, but capturing the MBS to do this is not easy.
Conclusions • New wireless technologies and new satellite tracking systems can be adapted to increase the efficiency of the system • New sensors can be produced or existing sensors can be improved to increase robustness of the proposed system. • A number of investigations can be made regarding animal behavior in case of fire to improve system reliability.