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Wireless sensor networks (WSNs) operate in a highly heterogeneous and dynamic scenario. On one hand, there is a wide range of potential applications for WSNs, each one with different features and requirements and defining a different mission for the sensor nodes to accomplish. On the other hand, the execution context regarding the devices, networks and the physical environment around is subject to frequent changes. In order to achieve the best network performance while meeting requirements of different application missions and contexts, it is crucial to endow the WSN with customization and adaptation capabilities. Such capabilities should be preferably provided by a middleware layer that translates application missions to network configuration in a transparent way for the final users and client applications. This middleware should also provide facilities to program the WSN nodes, to access sensor generated data and to promote interoperability among different applications and networks. To tackle these challenges, we propose MARINE (MiddlewAre for Resource and mIssion-oriented sensor NEtworks), a WSN middleware built on REST and microkernel architectural patterns. MARINE tailors the WSN to requirements of each application mission while saving the overall resource consumption in sensor nodes.

There is a wide range of potential applications for wireless sensor networks (WSNs), each one with different features and requirements and defining a different mission for the sensor nodes to accomplish. In order to achieve the best network performance, it is important to adapt the network operation to these different missions. Such adaptation should be preferably performed by a middleware layer that translates application missions to networks configuration in a transparent way for the final users and client applications. In this context, we propose MARINE (MiddlewAre for Resource and mIssion oriented sensor NEtworks), a WSN middleware that tailors the WSN to requirements of each application mission while optimizing the overall resource consumption in sensor nodes.

26th European Photovoltaic Solar Energy Conference and Exhibition; 644-646, Concentrator photovoltaic CPV modules under real conditions from different manufactures have been measured in a new research centre at Jaen, Spain. Influence in maximum power point Pmax of irradiance levels, air temperature and air mass were under study for six months. Pmax shows a good linear behavior for irradiance levels from 400 to 1000 w/m2 and air temperature could be considered negligible in first approximation for temperatures between 20 and 40 ºC. A maximum in Pmax at AM1.5d was found, beyond this point, system losses power per AM unit.