Machine-to-Machine (M2M) communications have emerged as a new concept for the next generation of sensing and actuating systems. With the recent emergence of energy harvesting technologies, the current communication solutions have addressed the problem of controlling the data communication to regulate efficiently the energy consumption, aiming to avoid under and overuse of energy. However, these solutions do not consider data aggregation as means of controlling the network traffic. To fill this gap, this paper proposes the Data Aggregation for energy harVesting NETworks (DAV-NET), which regulates the energy consumption in accordance with the residual energy stored in the batteries, exploiting the data aggregation capabilities to control the network traffic. The performed simulations show that the proposed solution is able to regulate the energy consumption in case of abundant or scarce energy, controlling the aggregation level in a distributed fashion.

Machine-to-Machine (M2M) communication is an emerging paradigm for the next generation of sensing and actuating systems. Energy harvesting technologies applied in sensor and actuator devices must be considered by the communication solutions in order to achieve energy-efficient M2M communication. This paper addresses the problem of regulating the energy consumption in accordance with the harvested energy. Thus, it proposes Data Aggregation and communication Periodicity control for Energy Harvesting (DAPEH), a solution that controls the network energy consumption adjusting the Data Aggregation level and the periodicity of the communication. Data Aggregation allows DAPEH to control the amount of traffic sent over the network, while the communication periodicity enables the regulation of data production. The evaluation of the proposed solution uses real measurements of solar harvested energy and shows how the network can increase or decrease the energy consumption to avoid under and overuse of energy.