Wireless sensors have several constraints, such as a short transmission range, poor processing capabilities, and a limited available energy. Our goal is to design an energyefficient sensor network by exploiting the concept of collaborative signal processing. We consider a network composed of multiple sensor nodes, each of which corresponds to a processor. By using an appropriate collaborative c...

In this paper, we consider an adaptive energy efficient sensor scheduling mechanism. We consider a wireless sensor network where the sink sends queries form time to time, and sensors are equipped with one or more sensing components. Our goal is to design an adaptive sensor scheduling mechanism to choose sets of active sensors to work alternatively such that different types of queries are served...

To successfully perform the assigned sensing tasks by a wireless sensor network, sensors must both form a connected network via multi-hop wireless communication, and cover the entire working area or some specific locations. Therefore, deploying a wireless sensor network to provide connected coverage becomes a critical research issue. Most of the existing work [1] on the connected coverage probl...

The routing problem (finding an optimal route from one point in a computer network to another) is surrounded by impossibility results. These results are usually expressed as lower and upper bounds on the set of nodes (or the set of links) of a network and represent the complexity of a solution to the routing problem (a routing function). The routing problem dealt with here, in particular, is a ...

Cloud computing has become an attractive target for attackers as the mainstream technologies in the cloud, such as the virtualization and multitenancy, permit multiple users to utilize the same physical resource, thereby posing the so-called problem of internal facing security. Moreover, the traditional network-based intrusion detection systems (IDSs) are ineffective to be deployed in the cloud...

Modern system identification (SID) procedures rely on fixed sensor networks for data collection. Ideally, sensors are fixed at locations and contain profitable structural responses, however, such sensing areas are often limited by the accessibility of the structure and environmental hazards. Not only are fixed sensor placements limited, the data contains restricted spatial information. Mobile s...

A major concern in wireless sensor networks is to maximize network lifetime (in terms of rounds) while maintaining a high quality of services (QoS) at each round such as target coverage and network connectivity. Due to the power scarcity of sensors, a mechanism that can efficiently utilize energy has a great impact on extending network lifetime. Most existing works concentrate on scheduling sen...

The assisted living center uses a distributed system of sensors to monitor potential slips and falls of the residents. In our study, a Temporal Dynamic Bayesian Network is employed in monitoring of the sensors. Through simulation, we show that it’s effective to use TDBN and may help improve the time management of staff. Keywords—Dynamic Bayesian Network, wireless sensor networks; filtering, smo...

A sensor network makes environments smarter by sensing small changes of physical quantities using heterogeneous networked sensors, such as small sensor nodes and fixed type sensors. This paper illustrates our experimental setting developed in an ordinary office using prototype sensor nodes and reports how a sensor network detects small changes in a smart environment.