Graph based M2M optimization in an IoT environment

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.

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