Pipeline systems are vital infrastructure to national economy, and are widely used for transporting liquid and gas matter, such as oil, natural gas, water and chemic materials. However, effective and efficient management of pipeline systems are challenging, due to its mere lengths and the diverse deployment environments. Wireless sensor network (WSN) consists of a large number of sensors, which...

Active networks research proposed extending Internetclass systems by scripting in-network packet processing. We apply that idea to sensor networks, arguing that retasking a deployment is effectively active sensor networking. As a sensor network deployment is designed for a particular application domain, we propose using application specific virtual machines (ASVMs) to enable safe execution, con...

Existing protocols for secure key establishment all rely on an unspecified mechanism for initially deploying secrets to sensor nodes. However, no commercially viable and secure mechanism exists for initial setup. Without a guarantee of secure key deployment, the traffic over a sensor network cannot be presumed secure. To address this problem, we present a user-friendly protocol for the secure d...

The modeling of the sensing area of a sensor node is essential for the deployment algorithm of wireless sensor networks (WSNs). In this paper, a polygon model is proposed for the sensor node with directional sensing area. In addition, a WSN deployment algorithm is presented with topology control and scoring mechanisms to maintain network connectivity and improve sensing coverage rate. To evalua...

Sensor network deployment is very challenging due to the hostile and unpredictable nature of environments. The field coverage of wireless sensor networks (WSNs) can be enhanced and consequently network lifetime can be prolonged by optimizing the sensor deployment with a finite number of mobile sensors. In this paper, we introduce a comprehensive taxonomy for WSN self-deployment in which three s...

In this paper we investigate the expected lifetime and information capacity of a data-gathering wireless sensor network. The information capacity is defined as the maximum amount of data (bits) transferred before the first sensor node death due to energy depletion, while ignoring various signaling overheads, such as MAC and routing. We develop a fluid-flow based computational framework that ext...

Wireless sensor networks are subject to failures. Deployment planning should ensure that when a data sink or sensor node fails, the remaining network can still be connected, and so may require placing multiple sinks and relay nodes in addition to sensor nodes. For network performance requirements, there may also be path-length constraints for each sensor node. We propose four algorithms, Greedy...

When wireless sensors are used to keep an area under surveillance the most critical issue is the quality of the deployment. In this paper, we study the quality of the deployment in surveillance wireless sensors by proposing several quality measures. The field is modelled as a grid and a probabilistic sensor model is utilized to determine the coverage area which is referred to as the iso-sensing...

The availability of cheap and smart wireless sensing devices provides unprecedented possibilities to monitor the physical world. On the technical side these devices introduce several original research problems, many of them related to the integration of the rampant technology proposals. Global Sensor Networks (GSN) is a platform which provides a scalable infrastructure for integrating heterogen...

We study a mobile wireless sensor network (MWSN) consisting of multiple mobile sensors or robots. Two key issues in MWSNs energy consumption, which is dominated by sensor movement, and sensing coverage have attracted plenty of attention, but the interaction of these issues is not well studied. To take both sensing coverage and movement energy consumption into consideration, we model the sensor ...