Self‐servicing energy efficient routing strategy for smart forest

Background Introduction There is a growing awareness to save and conserve wildlife so that future generations can enjoy the biodiversity of our planet. As it is, we are witnessing changes in climate around various regions around the globe (Yavasli et al. 2015). These climatic changes have caused natural habitats that have existed for aeons to slowly disappear. Without a suitable environment in which to survive, many species have begun to go extinct (Allsopp et al. 2012). Around the world, researchers are concentrating on ways to protect not wildlife, but also the flora and fauna that support the existence of native wildlife. One of the most debilitating factors threatening conservation efforts are incidents of forest fires. The United States Forest Service and other similar agencies take this threat very seriously. Forest fires not only cause extensive damage in areas where these occur, but also influence weather patterns. With the help of applications developed based on Internet of Everything (Bradley et al. 2013) and Internet of Things (Biet 2014), increase in carbon monoxide levels can be detected in advance. Using data generated, researchers Abstract