Wireless Sensor Networks (WSNs) consist of small nodes with sensing, computation, and wirelesscommunications capabilities. Recent advances in wireless communications technology and microelectromechanical systems have enabled the development of low cost, low power, network-enabled, andmultifunctional micro sensors. The potential applications of wireless sensor networks (WSNs) span a widespectrum in various domains, due to their ease of deployment, re-liability, scalability, flexibility, and selforganization.Generally there are three models of WSN: time, on-demand and event driven. In this paper, wepropose a hybrid data-gathering protocol which uses the advantages of both the event-driven and time-drivendata-reporting schemes. The main aim of our approach is to detect an event of interest in the near future byusing adaptive transmission based data-reporting process. Without requiring observer intervention the datafrom neighboring areas are gathered proactively. The proposed protocol analyzes the environmental changesaccurately using moderate resource consumption. The proposed protocol is implemented in networksimulator and analyzes its behaviors using synthetic environments that model the occurrence of a fire.