TY - GEN
T1 - Graph based M2M optimization in an IoT environment
AU - Paul, Anand
PY - 2013
Y1 - 2013
N2 - In this paper, a graph based M2M optimization in an IoT environment is presented. A parallel reconfigurable M2M architecture with multiple dynamic reconfigurable unit in an IoT scenario is modeled using a directed acyclic graph (DAG) to represent the whole environment. Parallel M2M establish communication within the network and are partitioned and reconfigured dynamically for large scale network such as IoT. Simulation were performed for multiple M2M array for different state, timing and power consumption along with the scheduling scheme are considered.
AB - In this paper, a graph based M2M optimization in an IoT environment is presented. A parallel reconfigurable M2M architecture with multiple dynamic reconfigurable unit in an IoT scenario is modeled using a directed acyclic graph (DAG) to represent the whole environment. Parallel M2M establish communication within the network and are partitioned and reconfigured dynamically for large scale network such as IoT. Simulation were performed for multiple M2M array for different state, timing and power consumption along with the scheduling scheme are considered.
KW - DAG (directed acyclic graph)
KW - graphs model
KW - IoT
KW - M2M
KW - network
UR - http://www.scopus.com/inward/record.url?scp=84891438416&partnerID=8YFLogxK
U2 - 10.1145/2513228.2513287
DO - 10.1145/2513228.2513287
M3 - Conference contribution
AN - SCOPUS:84891438416
SN - 9781450323482
T3 - Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013
SP - 45
EP - 46
BT - Proceedings of the 2013 Research in Adaptive and Convergent Systems, RACS 2013
T2 - 2013 Research in Adaptive and Convergent Systems, RACS 2013
Y2 - 1 October 2013 through 4 October 2013
ER -