TY - GEN
T1 - Decentralized detection and tracking of emergent kinetic data for wireless grids of embedded sensors
AU - Subramanian, Varun
AU - Umbarkar, Anurag
AU - Doboli, Alex
PY - 2012
Y1 - 2012
N2 - The paper proposes methods to detect and track emergent kinetic data representing clouds of physical entities, e.g., clouds of polluting gas, or clusters of autonomous agents, like robots or vehicles. Kinetic data are important entities in Cyber-Physical Systems as they express phenomena that are distributed in space and time, and are dynamic with respect to their characteristic attributes and lifetime. The main attributes of kinetic data are topography (position, boundary, and area), nature (signature), and dynamics (up to n-th order gradients). The related operators define the distribution (discretization) and composition (aggregation) of the attributes. The paper presents fully decentralized methods for optimized implementation of kinetic data on a grid network of wireless embedded sensing nodes. The efficiency of the algorithms is compared with similar methods proposed in the literature.
AB - The paper proposes methods to detect and track emergent kinetic data representing clouds of physical entities, e.g., clouds of polluting gas, or clusters of autonomous agents, like robots or vehicles. Kinetic data are important entities in Cyber-Physical Systems as they express phenomena that are distributed in space and time, and are dynamic with respect to their characteristic attributes and lifetime. The main attributes of kinetic data are topography (position, boundary, and area), nature (signature), and dynamics (up to n-th order gradients). The related operators define the distribution (discretization) and composition (aggregation) of the attributes. The paper presents fully decentralized methods for optimized implementation of kinetic data on a grid network of wireless embedded sensing nodes. The efficiency of the algorithms is compared with similar methods proposed in the literature.
UR - https://www.scopus.com/pages/publications/84866672458
U2 - 10.1109/AHS.2012.6268650
DO - 10.1109/AHS.2012.6268650
M3 - Conference contribution
AN - SCOPUS:84866672458
SN - 9781467319157
T3 - Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012
SP - 198
EP - 204
BT - Proceedings of the 2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012
T2 - 2012 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2012
Y2 - 25 June 2012 through 28 June 2012
ER -