Energy efficient group context aware sensor management strategy for tactical operations

Abstract : Shared situational awareness (SSA) is essential to success and safety in tactical environments, whether fighting wars or providing relief during disasters and humanitarian catastrophes. The increased availability of sensors in mobile devices offers groundbreaking opportunities for continuous context-aware applications that are capable of responding to the operating conditions of users and their environment. However, continuous context-aware applications involve high-energy consumption. A key challenge in tactical environments is to make the most effective use of scarce resources. There are numerous approaches for reducing energy consumption of continuous context-aware applications. This thesis examines two methods: Sensor Substitution and Triggering (SENST) and Acquisitional Context Engine (ACE). The goal of this thesis is to explore the capabilities and limitations of SENST and ACE for group context-awareness and provide a group energy-efficient sensor management strategy that enhances the dissemination of SSA in tactical environments.