Abstract
This paper proposes a mobile biological sensor system that can assist in earlydetection of forest fires one of the most dreaded natural disasters on the earth. The main ideapresented in this paper is to utilize animals with sensors as Mobile Biological Sensors(MBS). The devices used in this system are animals which are native animals living inforests, sensors (thermo and radiation sensors with GPS features) that measure thetemperature and transmit the location of the MBS, access points for wireless communicationand a central computer system which classifies of animal actions. The system offers twodifferent methods, firstly: access points continuously receive data about animals' locationusing GPS at certain time intervals and the gathered data is then classified and checked tosee if there is a sudden movement (panic) of the animal groups: this method is called animalbehavior classification (ABC). The second method can be defined as thermal detection(TD): the access points get the temperature values from the MBS devices and send the datato a central computer to check for instant changes in the temperatures. This system may beused for many purposes other than fire detection, namely animal tracking, poachingprevention and detecting instantaneous animal death.
Highlights
Forest fires are the most prevalent type of disasters studied in the literature since they are relatively easy to prevent, and with the threat of global warming they are gaining increasing importance
This paper presents a proposal that addresses the idea of using classified animal tracking data and thermal data for forest fire detection, using animals as Mobile Biological Sensors (MBS)
Animals can be specially trained for this purpose, and while it may seem that using specially trained animals may infringe upon their freedom, the lives of many animals may be saved by forest fire prevention
Summary
Forest fires are the most prevalent type of disasters studied in the literature since they are relatively easy to prevent, and with the threat of global warming they are gaining increasing importance. Sensors 2007, 7 have vital importance [1].For this reason, for many years, a large number of academic and theoretical studies and practical applications have been conducted on early detection of forest fires. Many environmental studies have been conducted on creatures that live in the forest habitat, especially those which are under the threat of extinction. Both animal studies and studies in forest fire detection have been conducted independently, both have focused on the forest environment. This paper presents a proposal that addresses the idea of using classified animal tracking data and thermal data for forest fire detection, using animals as MBS. The MBS approach needs versatile devices that can be used as effective thermal sensors on animals, GPS devices, access points for a wireless network, and animals themselves
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