Bio-inspired Adaptive Architecture for Wireless Sensor Networks

Wireless Sensor Networks (WSN) are expected to revolutionize daily life by connecting everyday objects with sensing capabilities, offering numerous opportunities for a wide range of applications. To facilitate the integration and enable all these opportunities to be realized, it becomes a necessity for middleware architectures that: (a) perform well in non-well-defined infrastructures, (b) are able to deal with the large number of users and heterogeneous devices integrated into it (ultra scalable), and (c) enable autonomy of the system overall. This work introduces a bio-inspired middleware optimized for wireless sensor networks proposing a refinement, the regional network, in a work published earlier as a bio-inspired self-adaptive architecture for the Internet of Things, while providing a comparison of other similar middleware approaches and a discussion on the motivating health monitoring scenario.