this demo presents a distanceless networking approach for wireless sensor networks sparsely deployed in large areas. We implement the proposed scheme and deploy the sensor network in a large urban reservoir of 2.5km ∗...
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ISBN:
(纸本)9781450331432
this demo presents a distanceless networking approach for wireless sensor networks sparsely deployed in large areas. We implement the proposed scheme and deploy the sensor network in a large urban reservoir of 2.5km ∗ 3.0km to monitor the field wind distribution. We show the in-field deployment procedure of the wind field measurement system and demonstrate the performance of the data collection protocol by a small testbed on site. Copyright 2014 acm.
Ravel is a software framework for developing sensor network applications that follow the embedded-Gateway-Cloud architecture. Developers describe a Ravel application as a data processing pipeline in terms of two abstr...
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ISBN:
(纸本)9781450331432
Ravel is a software framework for developing sensor network applications that follow the embedded-Gateway-Cloud architecture. Developers describe a Ravel application as a data processing pipeline in terms of two abstractions: models and transforms between models. this pipeline generates code for controllers that can compile to and run on any element of the architecture, from embedded devices to cloud servers. Developers also specify views, that represent the data set on a particular device. therefore, each device type is a space where data flows via transform. the framework automatically handles moving data between spaces using appropriate network protocols. Compile-time tools verify that the code, once modified by the developer, still follows application specification as defined by the data pipeline. Copyright 2014 acm.
We present a holistic architecture for energy management in sensor networks. Our architecture is based on a model-driven approach which attempts to (a) establish functional relationships across different components of...
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ISBN:
(纸本)9781450336314
We present a holistic architecture for energy management in sensor networks. Our architecture is based on a model-driven approach which attempts to (a) establish functional relationships across different components of the software stack and the interrelated parameters based on empirical data, (b) use the maximum sensor value and time-synchronization errors acceptable by the users of the sensor network application as input to establish minimum quality of service requirements, and (c) optimize the parameter values of all the software modules within the node's application stack to minimize total energy consumption for each sensor node. We explore the trade-offs of the design space by using a non-trivial application that includes sensing, time synchronization and routing modules and show that when using our architecture, we can provide energy savings in the average of 37% to 76% while still maintaining quality of service both in terms of the expected sensing and time-synchronization errors. We further show that even when using modules that perform significantly better than others with default values (e.g. ORW >> CTP), we can still reduce overall energy consumption by properly adjusting the parameters of lowest performance modules and provide energy savings in the average of 30% to 43%.
embeddedsystemsthat are wirelessly reprogrammed can be rendered useless by certain programming errors, excessive power consumption, or misconfigurations in the hardware. these types of situations can leave a device ...
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ISBN:
(纸本)9781450336314
embeddedsystemsthat are wirelessly reprogrammed can be rendered useless by certain programming errors, excessive power consumption, or misconfigurations in the hardware. these types of situations can leave a device in a state that compromises its programmability, often rendering the device useless. Existing attempts to address the problem of robust wireless reprogramming have all been software-based solutions, that are vulnerable to certain errors, such as memory corruption, can corrupt the recovery programs. We propose a hardware-based solution to wireless reprogramming, physically separating the programmer and target device. this separation limits the propagation of errors, and ensures the device will always be recoverable. In this poster we will present the design and an early prototype of our approach -- an ultra-low-power, low-cost hardware solution to ensure recovery from fatal errors and reprogrammability in wireless systems. this poster discusses the current system design, initial results, and system analysis from our current prototype. We also present future and ongoing directions, as well as key research questions. this work was funded by National Science Foundation grants CNS-1314342 and CNS-1453607. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Many underwater monitoring tasks, such as submarine life studies and pipeline inspections, are usually performed manually. Automated underwater monitoring has the potential to increase safety, improve timeliness, and ...
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ISBN:
(纸本)9781450331432
Many underwater monitoring tasks, such as submarine life studies and pipeline inspections, are usually performed manually. Automated underwater monitoring has the potential to increase safety, improve timeliness, and decrease costs. We propose a hybrid solution of stationary sensor buoys and swarms of autonomous underwater vehicles (AUV) and report on our current progress of its realization. Our solution is based on sensor network technology and a small mobile underwater robot developed in our institute. Copyright 2014 acm.
Robots improve wireless sensor network (WSN) deployments by reducing deployment times, deploying nodes to improve coverage, and ferrying data. Utilizing Unmanned Aerial Vehicles (UAVs) to install sensor networks in en...
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ISBN:
(纸本)9781450331432
Robots improve wireless sensor network (WSN) deployments by reducing deployment times, deploying nodes to improve coverage, and ferrying data. Utilizing Unmanned Aerial Vehicles (UAVs) to install sensor networks in environmentally sensitive areas is especially valuable, as the UAVs are able to quickly traverse rough and environmentally sensitive terrain. UAV based deployments are challenging, as the UAVs may need to install nodes in a specific orientation or location type, which is difficult to sense from a UAV. We present our work towards resolving these difficulties by first classifying the surface a UAV has landed on, and then conducting a post-deployment analysis of the installation. Copyright 2014 acm.
this paper presents a distanceless networking approach for wireless sensor networks sparsely deployed in large areas. By leveraging rateless codes, we provide distanceless transmission to expand the communication rang...
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ISBN:
(纸本)9781450331432
this paper presents a distanceless networking approach for wireless sensor networks sparsely deployed in large areas. By leveraging rateless codes, we provide distanceless transmission to expand the communication range of sensor motes and fully exploit network diversity. We address a variety of practical challenges to accommodate rateless coding on resource-constrained sensor motes and devise a communication protocol to efficiently coordinate the distanceless link transmissions. We propose a new metric (expected distanceless transmission time) for routing selection and further adapt the distanceless transmissions to low duty-cycled sensor networks. We implement the proposed scheme in TinyOS on the TinyNode platform and deploy the sensor network in a real-world project, in which 12 wind measurement sensors are installed around a large urban reservoir of 2.5km∗3.0km to monitor the field wind distribution. Extensive experiments show that our proposed scheme significantly outperforms the state-of-the-art approaches for data collection in sparse sensor networks. Copyright 2014 acm.
In this poster, we present a novel approach to study and reveal network protocol information from radio activities instrumentation in wireless sensor network. Recent studies have analyzed radio activities;however, mos...
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ISBN:
(纸本)9781450331432
In this poster, we present a novel approach to study and reveal network protocol information from radio activities instrumentation in wireless sensor network. Recent studies have analyzed radio activities;however, most of these studies focus on estimating energy consumption, since radio chip usually dominates the energy consumption of nodes. In our work, we analyze radio activities with a dierent purpose, which aims to reveal network protocols and application workloads by an analysis of fine-grained low level radio activities on the nodes. We design a feature called Radio Awake Length Counter and use it to classify and reveal network activity. Results from experiments on a real world testbed indicate that our approach can achieve up to 97% accuracy to identify the routing protocols, average 85% accuracy to distinguish application workloads. Copyright 2014 acm.
We present an implementation of a system for managing evolving shapes in Wireless sensor Networks (WSN). A shape is a contiguous region in which the measurements of the sensors detect values above a given threshold. O...
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ISBN:
(纸本)9781450331432
We present an implementation of a system for managing evolving shapes in Wireless sensor Networks (WSN). A shape is a contiguous region in which the measurements of the sensors detect values above a given threshold. Our system, in its current version, solves two important problems: (1) Detecting and tracking the changes of boundaries;(2) Detecting an occurrence of within distance predicate for two (or more) shapes. A centralized approach (transmitting raw measurements to a dedicated sink) incurs communication overhead, so we developed distributed algorithms for managing the predicates related to evolving shapes. this demo will present the implementation of our solutions in a heterogeneous WSN consisting of TelosB and SunSPOT motes. It will also illustrate the end-user tools: Interface for specifying the parameters of the predicates, along with real-time visualization of their evaluation. Copyright 2014 acm.
For the last fifteen years, research explored the hardware, software, sensing, communication abstractions, languages, and protocols that could make networks of small, embedded devices-motes-sample and report data for ...
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ISBN:
(纸本)9781450331432
For the last fifteen years, research explored the hardware, software, sensing, communication abstractions, languages, and protocols that could make networks of small, embedded devices-motes-sample and report data for long periods of time unattended. Today, the application and technological landscapes have shifted, introducing new requirements and new capabilities. Hardware has evolved past 8 and 16 bit microcontrollers: there are now 32 bit processors with lower energy budgets and greater computing capability. New wireless link layers have emerged, creating protocols that support rapid and efficient setup and teardown but introduce novel limitations that systems must consider. the time has come to look beyond optimizing networks of motes. We look towards new technologies such as Bluetooth Low Energy, Cortex M processors, and capable energy harvesting, with new application spaces such as personal area networks, and new capabilities and requirements in security and privacy to inform contemporary hardware and software platforms. It is time for a new, open experimental platform in this post-mote era. Copyright 2014 acm.
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