Sensing coverage is a fundamental problem in wireless sensor networks (WSNs), which has attracted considerable attention. Conventional research on this topic focuses on the 0/1 coverage model, which is only a coarse approximation to the practical sensing model. In this paper, we study the target coverage problem, where the objective is to find the least number of sensor nodes in randomly-deploy...

Wireless sensor network (WSN) have recently come forth as an eminent technology for monitoring and event detection application. In WSN a large number of sensor nodes perform sensing of a target field. The target field is said to be ?-covered, if its every point is within the sensing range of at least ?sensors. The ?-coverage verification algorithm is proposed for verifying ?-coverage of a d-dim...

Recent advances in integrated electronic devices motivated the use of Wireless Sensor Networks (WSNs) in many applications including domain surveillance and mobile target tracking, where a number of sensors are scattered within a sensitive region to detect the presence of intruders and forward related events to some analysis center(s). Obviously, sensor deployment should guarantee an optimal ev...

Recent improvements in technologies have a considerable impaction advancing the state of wireless sensor networks, which constitute the platform of broad range of applications related to national Security, Habitat Monitoring, Environment observation and forecasting, Health Applications, Home and Office Applications. An important problem receiving increased consideration recently is the target c...

This work implements and simulates the problem known as adversarial coverage. In this problem, a robot is required to visit every point in a target area, which contains hazards or threats that might stop the robot. The objective of the robot is to cover the target area as quickly as possible, while maximizing the probability of completing the coverage before it is stopped. Previous studies of t...

Wireless sensor networks have emerged recently as an effective way of monitoring remote or inhospitable physical targets, which usually have different Quality of Service (QoS) constraints, i.e., different targets may need different sensing quality in terms of the number of transducers, sampling rate, etc. In this paper, we address the problem of optimizing network lifetime while capturing those...

Our goal is to evaluate the grammatical coverage of the surface realization component of a natural language generation system by means of target suites. We consider the utility of re-using for this purpose test suites designed to assess the coverage of natural language analysis / understanding systems. We find that they are of some interest, in helping inter-system comparisons and in providing ...

A critical aspect of applications in wireless sensor network is network lifetime. Wireless sensor network are usable as long as they can communicate sensed data to processed node. Sensing and communication are important activities and they consume energy. So power management and sensor scheduling can effectively increase the networks lifetime. There are many issues that can be considered for en...

In target tracking sensor networks, tracking quality and network lifetime are two conflicting optimization goals due to the limited battery power of the sensor nodes. During the movement of a target, how to select an optimal subset of sensors to wake up is of critical importance both for extending network lifetime and guaranteeing tracking quality. In this paper, we first propose a probabilisti...