Simultaneous transmissions in the same radio range of a wireless sensor network causes interference and packets are lost. Knowing the interference pattern in advance, the transmission links can be scheduled so that no...
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ISBN:
(纸本)9781605587486
Simultaneous transmissions in the same radio range of a wireless sensor network causes interference and packets are lost. Knowing the interference pattern in advance, the transmission links can be scheduled so that no packet is lost due to interference and all streams meet their deadlines. this problem is NP-hard in general and therefore we resort to heuristics. In this paper, we present a set of heuristics for scheduling periodic, real-time data streams over a wireless sensor network. Simulation results show that our heuristics produce feasible schedules in almost all cases.
A novel autonomic communication framework is proposed for two-tiered heterogeneous sensor networks. the framework consists of an autonomic data-link protocol, LADD, and a communication scheduler. Networks consist of b...
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ISBN:
(纸本)9781595937636
A novel autonomic communication framework is proposed for two-tiered heterogeneous sensor networks. the framework consists of an autonomic data-link protocol, LADD, and a communication scheduler. Networks consist of both sensing nodes and more powerful relaying nodes. LADD is able to adapt to time varying and asymmetric wireless links with minimal energy consumption. the distributed scheduling scheme provides fair and efficient co-ordination of communication streams over multiple radio hops.
Withthe rapid advances in technologies such as MEMS sensors, low-power embedded processing and wireless networking, sensor networks are becoming more powerful in terms of data acquisition and processing capabilities....
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ISBN:
(纸本)9781595937636
Withthe rapid advances in technologies such as MEMS sensors, low-power embedded processing and wireless networking, sensor networks are becoming more powerful in terms of data acquisition and processing capabilities. sensor networks can now be deployed in the physical world for various important applications such as environmental monitoring, weather monitoring and modeling, military surveillance, healthcare monitoring, tracking of goods and manufacturing processes, smart homes and offices, etc.
Running efficiency is an important factor to consider in order to avoid injury. In particular, foot pronation, the angle of the foot as it hits the ground, is a common cause for many types of injuries among runners. T...
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ISBN:
(纸本)9781605587486
Running efficiency is an important factor to consider in order to avoid injury. In particular, foot pronation, the angle of the foot as it hits the ground, is a common cause for many types of injuries among runners. though pronation is common, diagnosing pronation is difficult and imprecise. Currently there is no method of diagonsis which can quantify the severity of pronation. In this paper we propose using WISP (Wireless Identification and Sensing Platform) sensors to help identify and quantify foot pronation.
the ease of deploying wireless camera sensor nodes has grown withthe reduction of manufacturing costs of low power, high resolution cameras. Although current wireless sensor network platforms have limited on-board re...
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ISBN:
(纸本)9781605587486
the ease of deploying wireless camera sensor nodes has grown withthe reduction of manufacturing costs of low power, high resolution cameras. Although current wireless sensor network platforms have limited on-board resources for solving highly complex computer vision problems, we show that by splitting the processing costs between the sensor node and a powerful backend, we can achieve better classification results. Using such a distributed processing approach, we balance the computational and communication costs for achieving better detection performance while improving the system lifetime.
Wireless sensor Networks enable scientists to collect information about the environment with a granularity unseen before, while providing numerous challenges to software designers. Since sensor devices are often power...
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ISBN:
(纸本)9781605587486
Wireless sensor Networks enable scientists to collect information about the environment with a granularity unseen before, while providing numerous challenges to software designers. Since sensor devices are often powered by small batteries, which take considerable effort to replace, it is of major importance to use energy carefully. We present two efficient ways of extending the lifetime of such systems: 1. an adaptive duty cycling protocol and 2. an adaptive data management protocol. Further, we present some details of our deployed sensor network in Wytham Woods, Oxfordshire.
Nowadays, advances in wireless sensing and actuation technology allow for reasonable amounts of application logic to be embedded inside wireless sensor networks. Such applications are more autonomous, but also signifi...
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Body-worn inertial sensors has become a convenient tool for sensing and recognizing human activities. the work presented in this poster uses Nordic Semiconductor's thingy: 52 IoT sensor kit as the data collection ...
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ISBN:
(纸本)9781450359528
Body-worn inertial sensors has become a convenient tool for sensing and recognizing human activities. the work presented in this poster uses Nordic Semiconductor's thingy: 52 IoT sensor kit as the data collection device. We built a body area network with four thingy: 52 devices that collect data of the wearer. In this work, we focused only on periodic and continuous activities and experimented with walking and running.
In spite of using unreliable resource-constrained devices, sensor networks can nowadays deliver 99.9% of their data with duty cycles well below 1%. this remarkable performance is, however, dependent on one or more of ...
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ISBN:
(纸本)9781450320276
In spite of using unreliable resource-constrained devices, sensor networks can nowadays deliver 99.9% of their data with duty cycles well below 1%. this remarkable performance is, however, dependent on one or more of the following assumptions: low traffic rates, medium size densities and static nodes.
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