This special issue brings together 11 papers on approaches spanning circuits, architectures, algorithms, and system design that demonstrates promising solutions to emerging critical problems in body sensornetworks.
This special issue brings together 11 papers on approaches spanning circuits, architectures, algorithms, and system design that demonstrates promising solutions to emerging critical problems in body sensornetworks.
Wireless sensornetworks usually consist of a large number of very small, energy-constrained sensor nodes. The nodes capture information from their immediate environment to send it to a destination node (sink) in a ti...
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Wireless sensornetworks usually consist of a large number of very small, energy-constrained sensor nodes. The nodes capture information from their immediate environment to send it to a destination node (sink) in a timely manner. This work proposes a combined contention and TDMA-based approach for load balancing and a discrete-time Markov model that allows to study the trade-off between energy consumption and transfer delay in clustered wireless sensornetworks. Our investigations show that the length of the TDMA frame needs to be configured close to the minimum that is capable of transferring the offered load for optimizing energy efficiency and minimizing the delay.
This paper explores the usage of cooperative multiple input multiple output (MIMO) technique to minimize energy consumption used to establish communications among distant nodes in a wireless sensor network (WSN). As e...
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The number of sensors connected to the electric power system is expected to grow by several orders of magnitude by 2020. However, the information networks which will transmit and analyze the resulting data are ill-equ...
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ISBN:
(纸本)9780791854686
The number of sensors connected to the electric power system is expected to grow by several orders of magnitude by 2020. However, the information networks which will transmit and analyze the resulting data are ill-equipped to handle the resulting volume with reliable real-time delivery. Without the ability to manage and use this data, deploying sensors such as phasor measurement units in the transmission system and smart meters in the distribution system will not result in the desired improvements in the power grid. The ability to exploit the massive data being generated by new sensors would allow for more efficient flow of power and increased survivability of the grid. Additionally, the power systems of today are not capable of managing two-way power flow to accommodate distributed generation capabilities due to concerns about system stability and lack of system flexibility. The research that we are performing creates a framework to add "intelligence" to the sensors and actuators being used today in the electric power system. sensors that use our framework will be capable of sharing information through the various layers of the electric power system to enable two-way information flow to help facilitate integration of distributed resources. Several techniques are considered including use of peer-to-peer communication as well as distributed agents. Specifically, we will have software agents operating on systems with differing levels of computing power The agents will cooperate to bring computation closer to the data. The types of computation considered are control decisions, data analysis, and demand/response. When paired with distributed autonomous controllers, the sensors form the basis of an information system that supports deployment of both micro-grids and islanding. Our efforts in the area of developing the nextgeneration information infrastructure for sensors in the power grid form the basis of a broader strategy that enables better integration of distributed
In dynamic spectrum access networks, the unused licensed spectrum used by primary users (PU) is opened to unlicensed secondary users (SU) for improving spectrum efficiency. We design a simple time-based threshold poli...
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In dynamic spectrum access networks, the unused licensed spectrum used by primary users (PU) is opened to unlicensed secondary users (SU) for improving spectrum efficiency. We design a simple time-based threshold policy for collective protection of PUs, enabled by an out-of-band channel. In particular, multiple SUs may be widely distributed in a geographic location. The interference that collocated SUs cause to each other, termed self-interference, becomes a major source that may degrade the SUs communication performance. We establish an analytical framework for carrier sense multiple access (CSMA) based coexistence mechanisms when integrated into a family of time based threshold policies, and study its performance though theoretical analysis.
Wireless sensornetworks (WSNs) have enjoyed dramatic developments over the last decade. The availability of CMOS cameras and microphones enlarged the scope of WSNs paving the way to the development of Wireless Multim...
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Wireless sensornetworks (WSNs) have enjoyed dramatic developments over the last decade. The availability of CMOS cameras and microphones enlarged the scope of WSNs paving the way to the development of Wireless Multimedia sensornetworks (WMSN). Among the envisaged WMSN applications, Real-time Multimedia Monitoring constitutes one of the most promising. However, the resource requirements of these applications place difficult challenges in terms of network lifetime and scalability. This paper starts by identifying the main characteristics and requirements of Real-time Multimedia Monitoring applications and then highlights key research directions that may help to overcome those challenges.
The use of Wireless sensornetworks (WSNs) are a promising technology that can enhance various aspects of today's electric power systems, including generation, delivery, and utilization, making them a vital compon...
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The use of Wireless sensornetworks (WSNs) are a promising technology that can enhance various aspects of today's electric power systems, including generation, delivery, and utilization, making them a vital component of the next-generation electric power system, the smart grid. However, harsh and complex electric-power-system environments pose great challenges in the reliability of WSN communications in smart-grid applications. This paper presents wireless sensors with magnetic harvesting capabilities deployed along Underground High Voltage Power Lines (UHVPL) to allow long-lasting operation. The paper includes an overview of the communication protocol that optimizes sensor node coordination in linear array arrangements. Based on an optimal time synchronization method, the wireless sensors can self-adjust the communication timing in order to minimize the total power consumption. In addition, the paper provides a description of a linear sensor network under test, the results and discussions concerning network reliability and power efficiency.
sensornetworks are considered the heart of a wide range of applications. e-Health is one of those applications. This paper proposes a new network and Context Awareness service architecture for e-Health services. The ...
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sensornetworks are considered the heart of a wide range of applications. e-Health is one of those applications. This paper proposes a new network and Context Awareness service architecture for e-Health services. The proposal integrates the Ubiquitous sensor Network (USN) with the IP Multimedia Subsystem (IMS)-based nextgeneration Network (NGN). It provides a detailed signaling model for different healthcare scenarios based on SIP. The proposal involves modifications made to SIP to match the new e-Health features provided.
This paper discusses context-aware data browsing and data retrieval for mobile subscribers. We describe existing models as well as provide a new description for our SpotEx approach. Our model for context-aware data di...
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This paper discusses context-aware data browsing and data retrieval for mobile subscribers. We describe existing models as well as provide a new description for our SpotEx approach. Our model for context-aware data discovery uses mobile phones as proximity sensors. In our concept, any existing or even specially created wireless network node could be used as a presence sensor that can open (discover) access to some dynamic or user-generated content. The content itself could also be linked to social media. An appropriate mobile service (context-aware browser) can present that information to mobile subscribers. Potential use-cases for the proposed approach include any project associated with hyper-local news data. For example, projects providing Smart City data, delivering indoor retail information, etc.
The collaborative and low-cost nature of wireless sensornetworks (WSNs) brings significant advantages over traditional communication technologies used in today's electric power systems. Recently, WSNs have been w...
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The collaborative and low-cost nature of wireless sensornetworks (WSNs) brings significant advantages over traditional communication technologies used in today's electric power systems. Recently, WSNs have been widely recognized as a promising technology that can enhance various aspects of today's electric power systems, including generation, delivery, and utilization, making them a vital component of the next-generation electric power system, the smart grid. However, harsh and complex electric- power-system environments pose great challenges in the reliability of WSN communications in smart grid applications. This paper starts with an overview of the application of WSNs for electric power systems along with their opportunities and challenges and opens up future work in many unexploited research areas in diverse smart-grid applications.
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