Influence of on-Device Measurement Analysis on Energy Efficiency in Machine-to-Machine Systems

Abstract

Abstract-Machine-to-Machine Communication (M2M) enables communication between heterogeneous devices without human intervention. It is considered to be a key enabler technology for the concept of Internet of Things (IoT) and Cyber Physical Systems (CPS). With M2M's integration with Wireless Sensor Networks (WSN), information from different kinds sensors can be obtained. In order to discover useful knowledge from sensor data, various data mining techniques need to be applied. Due to the development of microprocessors on end devices in M2M system which collect data from sensors, data processing can also be executed on those devices. However, since end devices are often battery powered, energy consumption when running those algorithms needs to be taken into account. In this paper we implement an algorithm in M2M system, on Libelium Waspmote devices, which detects temperature plummeting in an indoor space. Afterwards, energy consumption of Waspmote devices is analyzed for two cases: when algorithm is executed on-device and when algorithm is executed on gateway or on back-end system.

Energy‐efficient task allocation for service provisioning in machine‐to‐machine systems

“…Temperature fluctuation detection, a service introduced in our earlier work , detects falls in temperature in an indoor space which can occur during winter time when a window is opened for too long. With a simple upgrade, the aforementioned algorithm could also detect rapid increases in temperature which could occur in summer time when air conditioning is not functioning and when windows might be opened.…”

“…Temperature fluctuation detection, a service introduced in our earlier work [42], detects falls in temperature in an indoor space which can occur during winter time when a window is opened for…”

“…That data enable precise assessments and the right choice of the node on which data analysis should be performed. By monitoring data like in our dataset, mentioned in our previous work [42], where measurements are taken every 10 s and alarms are raised averagely once a day, the device needs to send data to gateway as often as alarms are raised. However, to be able to receive new potential tasks, or request to stop the running service, the device needs to receive messages from gateway every now and then.…”