the embedded soft computing approach in wireless sensor networks is suggested. this approach means a combination of embedded fuzzy logic and neural networks models for information processing in complex environment wit...
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ISBN:
(纸本)9788073683863
the embedded soft computing approach in wireless sensor networks is suggested. this approach means a combination of embedded fuzzy logic and neural networks models for information processing in complex environment with uncertain, imprecise, fuzzy measuring data. It is generalization of soft computing concept for the embedded, distributed, adaptive systems.
Dual-radio, dual-processor nodes are an emerging class of Wireless sensor Network devices that provide both low-energy operation as well as substantially increased computational performance and communication bandwidth...
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ISBN:
(纸本)9781424410460
Dual-radio, dual-processor nodes are an emerging class of Wireless sensor Network devices that provide both low-energy operation as well as substantially increased computational performance and communication bandwidth for applications. In such systems, the secondary radio and processor operates with sufficiently low power that it may remain always vigilant, while the main processor and primary, high-bandwidth radio remain off until triggered by the application. By exploiting the high energy efficiency of the main processor and primary radio along with proper usage, net operating energy benefits are enabled for applications. the secondary radio provides a constantly available multi-hop network, while paths in the primary network exist only when required. this paper describes a topology control mechanism for establishing an end-to-end path in a network of dual-radio nodes using the secondary radios as a control channel to selectively wake up nodes along the required end-to-end path. Using numerical models as well as testbed experimentation, we show that our proposed mechanism provides significant energy savings of more than 60% compared to alternative approaches, and that it incurs only moderately greater application latency.
there exist many natural phenomena where direct measurement is either impossible or extremely invasive. To obtain approximate measurements of these phenomena we can build prediction models based on other sensing modal...
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ISBN:
(纸本)9781595939111
there exist many natural phenomena where direct measurement is either impossible or extremely invasive. To obtain approximate measurements of these phenomena we can build prediction models based on other sensing modalities such as features extracted from data collected by an imager. these models are derived from controlled experiments performed under laboratory conditions, and can then be applied to the associated event in nature. In this paper we explore various different methods for generating such models and discuss their accuracy, robustness, and computational complexity. Given sufficiently computationally simple models, we can eventually push their computation down towards the sensor nodes themselves to reduce the amount of data required to both flow through the network and be stored in a database. the addition of these models turn in-situ imagers into powerful biological sensors, and image databases into useful records of biological activity.
When sensor network research began in earnest In the 1990s, it was In the context of applications such as detection of vehicles or personnel using dense networks of low-cost sensor nodes, each of which was limited in ...
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ISBN:
(纸本)076952835X
When sensor network research began in earnest In the 1990s, it was In the context of applications such as detection of vehicles or personnel using dense networks of low-cost sensor nodes, each of which was limited in some combination of energy reserves, processing capability, and memory, and possessing quite simple sensors. this led to a large number of interesting optimizations, and much work continues in these directions today. However, the vision of large-scale deployments of dense, flat networks has not actually come to fruition In practical applications. Our experience In developing sensor networks for environmental science and monitoring applications provides some Insight Into why this Is so, and how the challenges of practical deployments give rise to deep theory questions. In this talk, our experiences in deploying networks for terrestrial and aquatic ecology applications will be described. Some of the design consequences are outlined below. In science applications, the goal Is typically to construct better models of a physical environment. We begin with a trusted apparatus and model that is limited in some way (e.g., too costly, limited In scale) and seek to extend It, in the process generating new science questions. Ecological processes are very complicated, with typically many layers of modeling required to provide even an approximate characterization. thus, experimentation is an Iterative process In which user Interactions are very Important. Calibration is an ongoing problem In deployments In natural settings, which together with uncertainty in the models leads to the question of trust in the data being a paramount design consideration. Validation of instruments, procedures, and models dominates the effort, which together withthe requirements for iterated design results In the requirement that nodes have much more robust communications, storage, and processing capabilities than earlier assumed. Energy and communication infrastructure can be required, a
the proceedings contain 57 papers. the special focus in this conference is on Ubiquitous Computing Frameworks and Safety-Critical systems. the topics include: An efficient method to create business level events using ...
ISBN:
(纸本)9783540756637
the proceedings contain 57 papers. the special focus in this conference is on Ubiquitous Computing Frameworks and Safety-Critical systems. the topics include: An efficient method to create business level events using complex event processing based on RFID standards;physical/cyber objects management framework for multiple-area detectable RFID;a task decomposition scheme for context aggregation in personal smart space;ontology based context alignment for heterogeneous context aware services;community computing model supporting community situation based strict cooperation and conflict resolution;on distributed real-time scheduling in networkedembeddedsystems in the presence of crash failures;application of safety analyses in model driven development;safety property analysis techniques for cooperating embeddedsystems using LTS;experimental analysis on time-triggered power consumption measurement with DVS-enabled multiple power domain platform;a framework for hardware-in-the-loop testing of an integrated architecture;an embedded integration prototyping system based on component technique;design and experimental validation of UAV control system software based on the TMO structuring scheme;lifestyle ubiquitous gaming: computer games making daily lives fun;healthcare information management system in home environment;effective appliance selection by complementary context feeding in smart home system;exact schedulability analysis for static-priority global multiprocessor scheduling using model-checking;soft real-time task response time prediction in dynamic embeddedsystems;an approach for energy-aware management in ubiquitous home network environment and intelligent context-awareness system using improved self-adaptive back propagation algorithm.
the ease of deployment of battery-powered and mobile systems is pushing the network edge far from powered infrastructures. A primacy challenge in building untethered systems is offering powerful aggregation points and...
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ISBN:
(纸本)9781595936141
the ease of deployment of battery-powered and mobile systems is pushing the network edge far from powered infrastructures. A primacy challenge in building untethered systems is offering powerful aggregation points and gateways between heterogeneous end-points-a role traditionally played by powered servers. Microservers are battery-powered in-network nodes that play a number of roles: processing data from clients, aggregating data, providing responses to queries, and acting as a network gateway. Providing QoS guarantees for these services can be extremely energy intensive. Since increased energy consumption translates to a shorter lifetime, there is a need for a new way to provide these QoS guarantees at minimal energy consumption. this paper presents Triage;a tiered hardware and software architecture for microservers. Triage extends the lifetime of a microserver by combining two independent, but connected platforms: a high-power platform that provides the capability to execute complex tasks and a low-power platform that provides high responsiveness at low energy cost. the low-power platform acts similar to a medical triage unit, examining requests to find critical ones, and scheduling tasks to optimize the use of the high-power platform. the scheduling decision is based on evaluating each task's resource requirements using hardware-assisted profiling of execution time and energy usage. Using three microserver services, storage, network forwarding, and query processing, we show that Triage provides more than 300% increase in microserver lifetime over existing systems while providing probabilistic quality of service guarantees.
We are demonstrating a networking technology and application environment that connects highly-constrained low-power wireless embeddedsensor networks with large-scale IP networks. this technology is based on the 6LoWP...
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ISBN:
(纸本)9781595937636
We are demonstrating a networking technology and application environment that connects highly-constrained low-power wireless embeddedsensor networks with large-scale IP networks. this technology is based on the 6LoWPAN IPv6-over-802.15.4 adptation layer.
A great deal of recent work has investigated new programming abstractions and models for sensor networks. However, the complexity of such systems demands a great deal of effort to develop appropriate compilers and run...
ISBN:
(纸本)9781595937636
A great deal of recent work has investigated new programming abstractions and models for sensor networks. However, the complexity of such systems demands a great deal of effort to develop appropriate compilers and runtime platforms to achieve good performance. We will demonstrate Flask [5], a new programming platform for sensor networks that decouples the design of a high-level programming environment from the the low-level details of generating per-node code and an efficient runtime system.
We have proposed a simple and energy-efficient communication mechanism which can organize a variety of communication depending on dynamically changing application requirements. In this demonstration, we show that our ...
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ISBN:
(纸本)9781595937636
We have proposed a simple and energy-efficient communication mechanism which can organize a variety of communication depending on dynamically changing application requirements. In this demonstration, we show that our mechanism can gather or diffuse information in accordance with application requirements in a dynamic wireless sensor network.
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