Intel-NTU Center forms four Special Interest Groups (SIGs) based on the research interest and expertise of the researchers: SIGGSP (Green Sensing Platform), SIGARC (Autonomous Reconfigurable Connectivity), SIGCAM (Context Analysis and Management), and SIGSSA (Smart Sensing and Applications) . As illustrated in the Figure below, each of the four SIGs represents an important aspect of the research items at Intel-NTU center. Their respective coverage of the challenges listed in Table 1 is roughly as follows. SIGGSP provides the necessary substrate for implementing and realizing green M2M technologies, roughly corresponding to L1 Sensor Layer but also addressing some L2 challenges. SIGARC develops technologies to manage connectivity at an unprecedented scale and automation, roughly corresponding to L2 Local Network and L4 Cellular Network Layers. SIGCAM provides analysis and management technologies at system level for processing the immense amount of data generated in the M2M era (L5 Data Management Layer), as well as other management/security challenges across several layers including L1, L2, L3, and L6. SIGSSA addresses application needs and hence drives the overall research o the entire center.
As shown in Figure 3, SSA has a pivotal role in three core technologies called GSP, ARC, and CAM, which are highly interrelated. GSP designs the most energy-efficient and sustainable sensing platform for the specified SSA scenario. ARC identifies the most efficient connections utilizing the limited bandwidth available for that application scenario. CAM analyzes the current situation, predicts future trends, and decides the best response. In addition, GSP, ARC, and CAM are interdependent. GSP provides the sensed data to ARC, allowing trillions of sensing nodes to communicate. CAM performs the required computations based on data from these sensing nodes. Synergy can be attained by cooperation between the four research groups with the common goal of connected context computing.