Probabilistic Model for M2M in IoT networking and communication

Anand Paul () and Seungmin Rho ()
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Anand Paul: Kyungpook National University
Seungmin Rho: Sungkyul University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2016, vol. 62, issue 1, No 6, 59-66

Abstract: Abstract In this paper, a probabilistic model for M2M in IoT networking and communication mode is presented with mobile and dynamic machines in the network. The scenario is considered stochastic and thus probability distribution describing the times between successive machines entry in to the network is predicted by means of a graph. A graph based model is also presented to find the shortest path and lowest cost between machines. For large scale network, parallel M2M establish connection inside a network and are partitioned and dynamically refigured such as IoT. Simulation were performed for multiple M2M array for different state, timing and power consumption along with the scheduling scheme are considered.

Keywords: M2M; IoT; Probabilistic model; Networking; Communication; Graphs (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11235-015-9982-z

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