Perpetual battery life for M2M devices with cellular access -

Perpetual battery life for M2M devices with cellular access


The advent of Machine to Machine (M2M) communication has opened up new avenues for the mobile operators and also for the equipment vendors. The ecosystem of communication is fast emerging in to a new dimension. However to make the new realm of M2M communication feasible, there is a need to reduce the power consumption of these devices.

M2M devices are a key factor in linking up the information of the physical world with the communication networks and other platforms. However, the battery life time of devices sending and processing sensor data is a very important factor in implementation of ubiquitous M2M devices for a range of applications.

Research is being carried out in several directions to reduce the power consumption. Research work has been done to develop new network topologies, architecture and also improve the electronics and embedded systems to reduce power consumption.

Explored here is a third direction: developing a prototype using the existing electronics and cellular access techniques to explore the possibility of improving power consumption.

The prototype uses using as its basic elements a CPU, a cellular access device and a rechargeable power system for used on an M2M device with battery time in terms of years.

We make use of the concept of sleeping devices to enable infinite battery times. The aim of the research is to find sleep times which may lead to sufficiently longer battery times and hence provide a prototype of M2M device with energy harvesting solution capable to have independent power source for years.

The M2M prototype that we have developed is a sensor platform that can be used for any type of sensor to update data on the web platform. Based on a wake up strategy, this platform can last for a decade using energy conservation techniques as described above and solution of energy harvesting for recharging the battery.

To read this external content in full, download the complete paper from the author archives online at Aalto University.

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