Collecting sensory data using a mobile data sink has been shown to drastically reduce
energy consumption at the cost of increasing delivery delay. Towards improved energy …

Internet of things (IoT) technologies have been widely used in industrial systems to control
the manufacturing environment and monitor production lines. An industrial IoT system can …

In this paper, we propose a generalized stochastic Petri net (GSPN) to model the sensor
node (SN) interaction in solar energy harvesting wireless sensor networks. Our GSPN …

The role of affective states in cognitive performance has long been an area of interest in
cognitive science. Recent research in game-based cognitive training suggest that cognitive …

We survey recent results on wireless networks that are based on analogies with various
branches of Physics. We address, among others, the problems of optimally arranging the …

Wireless Sensor Networks (WSN) are large networks of tiny sensor nodes that are usually
randomly distributed over a geographical region. The network topology may vary in time in …

Emerging applications of wireless sensor networks (WSNs) require real-time event detection
to be provided by the network. In a typical event monitoring WSN, multiple reports are …

In this paper, an analytic model is built to study the medium access control (MAC)
performance and reliability of general two-dimensional (2-D) IEEE 802.11 based wireless …

Massively-dense wireless sensor networks (WSNs) may increase the difficulty of designing
efficient and optimal routing algorithms. Since, from a macroscopic perspective, the optimal …

We consider the problem of maximizing the lifetime of a query-based wireless sensor
network in which all of the sensor nodes are both producers and consumers of network …