In the last years, Wireless Sensor Networks (WSNs) have experienced a rapid growth with a huge interest from both academia and industry. Their applications include natural disaster warning (e.g., fire prevention, earthquakes early detection, etc.), environmental monitoring, surveillance, logistics, body area networks for health and wellness, domotic networks for smart homes, and smart city services such as mobility, energy efficiency, advertising, and technical aid to elderly or disabled people.

The widespread deployment of WSN nodes and their interconnection through personal, local, or metropolitan area networks poses several challenges in terms of privacy and security of the network and of the access to data. Moreover, collecting data from a distributed sensor network and extracting the correct information in the host side has several issues in terms of integrity of data, fusion of data coming from multiple sensor sources, and data mining. New algorithms and protocols have to be developed, but this is only a part of the problem. Indeed the nodes of a WSN have limited resources in terms of computational and memory capability and have stringent constraints in terms of compact size, low power consumption, and power management. Therefore, advanced, efficient protocols and algorithms have to be implemented. Also, at the physical layer, new methods and architectures have to be explored for sensor analog front ends, digitization, and signal processing; low power implementation of the computing, storage, and wireless communication part; and compact and efficient design of antenna and wireless transceivers. To this aim, advanced packaging and 3-D integration technologies can be also exploited. Potentials topics include, but are not limited to:

• Privacy issues, protocols, and algorithms for WSN
• Privacy and security metrics and quantification in sensor networks
• Security issues, protocols, and algorithms for WSN
• Sensors data fusion and processing at node side (client) or host side in WSN
• Power-efficient implementation of new protocol and algorithms for WSN
• Compact antenna and low-power RF transceivers for WSN
• Sensor signal acquisition, conditioning, and digitization
• Application case studies
• Standardization initiatives

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