Smart Decision Fog Computing Layer in Energy-Efficient Multi-hop Temperature Monitoring System using Wireless Sensor Network
Citation: Position Papers of the 2015 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 6, pages 167–172 (2015)
Abstract. Article presents smart decision layer, as Fog Computing layer in WSN. Working WSN sleep state mode analysis is presented in multi-hop temperature monitoring system using wireless sensor network in vineyard monitoring scenario. The monitoring system is built from wireless sensor nodes, called motes. In the laboratory there are used SunSPOT motes, invented by Sun Microsystems, now manufactured by Oracle. There is presented temperature analyzing application, sending measured data in a multi-hop way to the network host. Computer is playing here a function of temperature measurements database. There is used LQRP routing protocol (based on AODV reactive routing protocol) for sending gathered data. All measurements are sent to the base-station node, directly connected via USB to the computer. Experiments are made with SunSPOTs' processor board sleep state modes. Their processor board is turned into different sleep modes for different periods of time. There is presented a comparison of sleep mode time periods in total time of running an application. Periods of sleep states are different depending on how long is turned on the utility thread sleep. The experiment's results show, that there is a need to build smart decision layer as fog computing layer for WSN. It should be done in order to better manage vineyard monitoring with different kind of sensors, especially to better manage transfer of big data from sensors to the Cloud data storage. Sensors, which build WSN, should be distributed over specific areas, as well as fog computing devices should be able to communicate with sensors in order to transfer only relevant data to the Cloud.