This book constitutes the thoroughly refereed post-conference proceedings of the Second International ICST Conference on Sensor Systems and Software, S-Cube 2010, held in Miami, Florida, USA, in December 2010. The 17 revised full papers presented were carefully reviewed and selected and cover a wide range of topics including sensor application programming paradigms, novel sensor applications, sensor network middleware, trust security and privacy, wireless sensor network management and monitoring, and sensor application development support systems.

This book constitutes the proceedings of the 13th International Conference on Sensor Systems and Software, S-Cube 2022, which was held in Dalian, China, in December 7-9, 2022. The 16 revised full papers in this book were selected from 42 submissions and are organized in three thematic sessions on sensor technology for marine systems; resilience control systems; and applications.

The First International ICST Conference on Sensor Systems and Software (S-cube 2009) was held during 7–8 September in Pisa, Italy. This new international conference was dedicated to addressing the research challenges facing system dev- opment and software support for systems based on wireless sensor networks (WSNs) that have the potential to impact society in many ways. Currently, wireless sensor networks introduce innovative and interesting application scenarios that may support a large amount of different applications including environmental monitoring, disaster prevention, building automation, object tracking, nuclear reactor control, fire det- tion, agriculture, healthcare, and traffic monitoring. The widespread acceptance of these new services can be improved by the definition of frameworks and architectures that have the potential to radically simplify software development for wireless sensor network-based applications. The aim of these new architectures is to support flexible, scalable programming of applications based on adaptive middleware. As a con- quence, WSNs require novel programming paradigms and technologies. Moreover, the design of new complex systems, characterized by the interaction of different and heterogeneous resources, will allow the development of innovative applications that meet high-performance goals. Hence, WSNs require contributions from many fields such as embedded systems, distributed systems, data management, system security and applications. The conference places emphasis on layers well above the traditional MAC and routing and transport layer protocols.

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International ICST Conference on Sensor Systems and Software, S-Cube 2013, held in Lucca, Italy, 2013. The 8 revised full papers and 2 invited papers presented cover contributions on different technologies for wireless sensor networks, including security protocols, middleware, analysis tools and frameworks.

This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Sensor Systems and Software, S-Cube 2014, held in Coventry, UK, in October 2014. The 12 revised full papers presented were selected from 16 submissions and cover technologies for wireless sensor networks, including security protocols, middleware, analysis tools and frameworks.

This book constitutes the thoroughly refereed post-conference proceedings of the Third International ICST Conference on Sensor Systems and Software, S-Cube 2012, held in Lisbon, Portugal in June 2012. The 12 revised full papers presented were carefully reviewed and selected from over 18 submissions and four invited talks and cover a wide range of topics including middleware, frameworks, learning from sensor data streams, stock management, e-health, and Web Of Things.

This book constitutes the thoroughly refereed post-conference proceedings of the 7th EAI International Conference on Sensor Systems and Software, S-Cube 2016, held in Sophia Antipolis, Nice, France, in December 2016. The 15 revised full papers and 5 invited papers cover technologies for wireless sensor networks, smart city and industry 4.0 applications, and smart sensing.