This research is motivated by large-scale pervasive sensing applications. We examine the
benefits and costs of caching data for such applications. We propose and evaluate several …

EcoCast is an execution framework for macroprogramming of wireless sensor networks.
Users access sensor nodes as dynamic objects in Python by invoking methods on them …

Wireless sensor networks may be deployed in many applications to detect and track events
of interest. Events can be either point events with an exact location and constant shape, or …

Reactive programming provides dedicated language abstractions for reactive software,
relieving developers from manually updating outputs when the inputs of a computation …

Sensing, communication, computation and control technologies are the essential building
blocks of a cyber-physical system (CPS). Wireless sensor networks (WSNs) are a way to …

Recent advances in wireless communication have made it possible to develop low-cost, and
low power Wireless Sensor Networks (WSN). The WSN can be used for several application …

Wireless Sensor Networks (WSNs) are highly coexisting, dynamic and application specific,
as well as having resource constrained in nature, thus programming the sensor nodes is …

The lack of support for federation and sharing inhibits real-world deployment of wireless
sensor networks (WSNs). In federated mode, multiple sensor networks belonging to …

IoT application development usually involves separate programming at the device side and
server side. While separate programming style is sufficient for many simple applications, it is …

We present Squirrel, a stream-oriented programming framework for storage-centric sensor
networks. The storage-centric paradigm---where storage operations prevail over …