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Energy consumption is one of the fundamental and challenging problems in the wireless sensor networks. It is considered from the view of energy consensus in this paper. Algebraic graph theory is used to describe topology structure of the wireless sensor networks(WSN). The energy consumption of nodes is analyzed and modeled. A hybrid model is built to describe the process of updating continuous energy...
Wireless sensor networks (WSN) consist of many small battery powered nodes with resources constraint. Low power design is a pivotal step of deploying a new platform. A typical sensor node consists of three major components: sensors, micro-controller, and transceiver. It's important to know their dynamic power consumption before optimization. Current research focuses on simulation, or integrating software...
The research area of Wireless Sensor Networks (WSN) is growing rapidly. WSN technology is making entrance into new application areas, for example industrial control and Critical Infrastructure (CI) environments. Energy efficiency is a highly prioritized goal of communication protocols and application design for WSN. However, the usage of WSN in both industrial and CI environments are starting to require...
Low power is a key element in the design of a wireless sensor node. It is necessary to know the power consumption details of sensors, microcontroller, transceiver, and other components before optimization. However, different application has different configuration. It isn't convenient to create theoretic model for each platform. We proposed a portable power consumption monitoring testbed for wireless...
This paper presents a new component of TinyOS for real-time signal processing. The goal is to provide a fast and flexible filter component for real-time signal processing. We described the component structure and algorithm design. Realistic environment tests and offline simulations are both demonstrated. Implementation and evaluation of this component are presented for vehicle detection based on magnetic...
A cost effective ZigBee-based wireless mine supervising system is presented in this article. This scheme used intelligent helmets as voice terminal and ultra-low-power nodes of wireless sensor network.The programme adopted ZigBee wireless technology to build wireless sensor networks, realized real-time surveillance with early-warning intelligence on methane, temperature, humidity in mining area, and...
Wireless sensor networks (WSN) involve with a large amount of sensing devices. For a complex WSN system, establish a model before implementation could help find potential errors before deployment. We introduce a formal modeling language, MOOA, to specify WSN systems. Under the framework of MOOA, sensing devices is represented as objects, and communications is represented as messages among objects...
This paper introduced an oxidation reduction potential network sensor based on Kalman filtering, which based on embedded system. This sensor uses depolarization measure to dispose platinum electrode and Ag-AgCl electrode, and it can detect oxidation reduction potential (ORP) fast and exactly. Also, this senor uses wireless mesh network to realize flexible network measure. So it can arbitrary add and...
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