Machine to Machine Communication

The following paper is to be presented at Global Interactions, Annual Research Conference 2013 Postgraduate Research Degree Students and Early Career Researchers. University of Northampton 27th June 2013.

Compressive Sensing of Machine to Machine Communication Terminals as a Means of Enhancing their Energy Efficiencies (M2M Green Communications).

Sylvester Ajah 

School of Science and Technology, 

Computing and Immersive Technology Division

Abstract
Energy efficiency of the machine to machine (M2M) communications terminals is one of the major design goals of the M2M networks, going by the fact that there are over 50 billion of M2M communication devices to be deployed into the network by year 2020. The stakeholders in the M2M communications have observed that it will be environmental and economic catastrophic to deploy M2M communication terminals without solving the energy inefficiencies associated with wireless devices that are expected be used for M2M communications.

This research will examine compressive sensing of machine to machine communication terminals in collaboration with energy synchronisation techniques as the means for actualizing the over a decade life span of M2M communication terminals.


Supervisors
Dr Ali Al-Sherbaz
Prof. Phil Picton
Dr Scott Turner