Adaptive Control of Sensor Networks

Self-improving system integration: Mastering continuous change

“…a) Architecture: Architectures are usually introduced to manage distributed (service-oriented [50]) software maintenance [51], wireless sensor networks [52], embedded systems [53], clouds [54] as well as infrastructures, for instance, Smart Grids [55,56]. Architectural aspects on emerging coordination [57] and self-improving interweaving [58] in Autonomous Adaptive System are also studied.…”

“…d) Membership: The heterogeneity of pervasive and ubiquitous systems poses several challenges for the management of membership and participation in self-integrating systems [62,63,64,65]. For instance, access control mechanisms and cloud computing architectures for social Internet of Things [66,67,64], communication protocols for wearable devices [68] and adaptive protocols [69,52] as well as semantic representation and ontologies resource access and management [70,71,72].…”

Proactive reconfiguration of wireless sensor networks

“…None of the existing reactive approaches, such as [3,5,8,15,18,21], can directly be used for the entire protocol stack and controllable parameters we consider. To see the impact on the metrics and behaviour of the network when using a proactive compared to a reactive approach we have created our own.…”

“…Various specialized protocols have been developed that include reconfiguration by adapting their own parameters in response to particular changes in the locally observed performance [3,5,8,15,18,21]. With the use of run-time techniques, such as feedback control [3,8,15,21], or machine learning [5,18], these approaches converge to parameter values suited for the current situation. These kind of approaches are reactive; they only adapt parameters after a local change of performance has been observed.…”