Programming sensor/actuator networks requires expertise in low-level programming, mainly because of using resource constraint hardware. the code of the resulting systems has typically no clear separation between appli...
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ISBN:
(纸本)9781424437702
Programming sensor/actuator networks requires expertise in low-level programming, mainly because of using resource constraint hardware. the code of the resulting systems has typically no clear separation between application and system (infrastructure) logic. this minimizes the possibility to reuse code and leads very often, to the necessity of major changes, in case the underlying platform (hardware or operating system) is changed. In this paper, we present a model driven approach based on the service oriented paradigm to support, the different parties involved in the development, namely platform experts, domain experts and end users. the goal of our approach is to enable the use of pre-implemented services in a potentially heterogeneous sensor/actuator network that can be easily combined to form an application. the interaction of these components is implemented by a middleware. To address the resource constraints, this middleware is tailored for each application and platform using a domain specific development tool. the platform experts can expand the code generator to support further platforms and features. Domain experts provide services and describe a potential interaction between different services. the end users can select, configure and combine adequate services to form a running application.
this paper presents a distributed and robust time slot scheduling algorithm, which is suitable for underwater acoustic sensor network (UASN). the information of nodes' 2-hop neighbors is needed to be collected and...
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this paper presents a distributed and robust time slot scheduling algorithm, which is suitable for underwater acoustic sensor network (UASN). the information of nodes' 2-hop neighbors is needed to be collected and then be used to calculate nodes' initial time slot by a distributed algorithm. A maximal independent set is formed by the nodes which were assigned withthe same initial slot. Some theorems were proved to reveal that in an interference graph the size of this maximal independent set is at least of the size of the maximum independent set of the nodes. the simulation compares UD-TDMA with other three MAC protocols. the results show that the proposed protocol is effective in the UASN with random deployment, especially in high-density underwater acoustic sensor network.
Bluetooth has provided many features that enable wireless ad-hoc networks, but it has also introduced many problems. the root cause of these problems lies in its communication mechanisms. We argue in this paper that t...
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Bluetooth has provided many features that enable wireless ad-hoc networks, but it has also introduced many problems. the root cause of these problems lies in its communication mechanisms. We argue in this paper that the models that have been used to study distributed algorithms on Bluetooth networks do not adequately model these networks in most cases, and were often oversimplified. this is mainly due to how the many restrictions that the Bluetooth specifications impose on such networks are taken into account, and the lack of ldquoshared knowledgerdquo of these restrictions among the researchers of this field. We give some examples to back our argument. We give also some suggestions and proposals to overcome these issues.
this paper discusses a grid-type sensor network with reconfigurable PSoCs as sensor nodes, and details the middleware routines that support the high-level model for distributed programming. the advantages of using rec...
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this paper discusses a grid-type sensor network with reconfigurable PSoCs as sensor nodes, and details the middleware routines that support the high-level model for distributed programming. the advantages of using reconfigurable PSoCs over other architectures, like MICA2 motes, are also discussed. the paper refers to a case study to illustrate the capabilities of the proposed network concept.
this paper presents the design of a wearable system for remotely assessing hydration status and visceral fat accumulation by means of bioelectrical impedance (BI) analysis. Conventional wired BI measurement systems ar...
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With advances in sensor techniques, much research is focused on USN (Ubiquitous sensor Network) computing services and context analysis service is an important field among them. However, sensor stream data, which is g...
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ISBN:
(纸本)9781424437702
With advances in sensor techniques, much research is focused on USN (Ubiquitous sensor Network) computing services and context analysis service is an important field among them. However, sensor stream data, which is generated from sensors used in many USN domain applications, is too fast to control each of them and the volume is too huge to store the whole data. Hence, in order to provide rapid and reliable context analysis service over such sensor stream data, a context analysis system which supports the functionality of sliding window is needed. the context model used in this system is a WHEN-DO context analysis model. this context analysis model is designed to be used as follows: If the sensor stream data satisfies condition in 'WHEN' clause, then it will execute actions specified in 'DO' clause in WHEN-DO context analysis model. Hence, this system also works as the same way. First determine if the received sensor stream data satisfies condition in 'WHEN' clause, if the condition is satisfied withthe value of received sensor stream data, then it will execute action in 'DO' clause in WHEN-DO context analysis model. Using WHEN-DO context analysis model in this system can take corresponding actions according to user defined conditions. Our proposed context analysis system can be applied to many other USN environment applications such as monitoring the status of a building and then taking actions to that condition.
Node location is of main importance for several areas of applications based on Wireless sensor Networks (WSNs), for instance location-based services. In this paper, we propose a new distributed approach for nodes'...
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Node location is of main importance for several areas of applications based on Wireless sensor Networks (WSNs), for instance location-based services. In this paper, we propose a new distributed approach for nodes'position estimation based on distance measurements. Our approach is close to the cooperative approach based on Curvilinear Component Analysis (CCA) proposed in. the complexity of the proposed approach is O(N) for all the network, but as the approach is distributed, the computation time is quasi-constant per node in the network.
In this paper, different control schemes for grid-connected DC-AC power converters are discussed and compared with experimental results. the voltage controller based on H-infinity and repetitive control techniques is ...
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ISBN:
(纸本)9781424428557
In this paper, different control schemes for grid-connected DC-AC power converters are discussed and compared with experimental results. the voltage controller based on H-infinity and repetitive control techniques is compared with a traditional proportional-integral (PI) controller implemented in synchronously rotating reference frame and a proportional resonant (PR) controller implemented in stationary reference frame, with main focus on harmonies distortion and DC current injection to the utility grid. the result shows that the H-infinity repetitive controller offers significant improvement in waveform quality and current harmonic distortion over conventional PI and PR controllers.
Motivated by applications like sensor, peer to peer, ad hoc networks there has been growing interest in monitoring large scale distributedsystems. In these applications typically we wish to monitor a global system co...
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Motivated by applications like sensor, peer to peer, ad hoc networks there has been growing interest in monitoring large scale distributedsystems. In these applications typically we wish to monitor a global system condition which is defined as a function of local network elements parameters. In this paper, we study Aggregate threshold Queries in sensor networks, which are used to detect when an aggregate value of all sensor measurements crosses a predetermined threshold. the major constraint in designing monitoring applications is reducing the amount of communication burden which is the dominant factor of energy drain in wireless sensor networks. In this study, we address the aggregate threshold monitoring problem by proposing a distributed algorithm to set local thresholds on each sensor node so that only those sensors whose measurements crosses their local thresholds commence communication. We adopt the FPTAS optimization formulation of the problem [1] and propose a distributed algorithm as the solution to the problem. Simulation results demonstrate the validity of the proposed distributed algorithm in attaining very close performance as the centralized scheme.
Target tracking is an important task addressed in wireless sensor network (WSN), because the resources of WSN are limited. A distributed lightweight particle filter algorithm is proposed to achieve robust target track...
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Target tracking is an important task addressed in wireless sensor network (WSN), because the resources of WSN are limited. A distributed lightweight particle filter algorithm is proposed to achieve robust target tracking with low resource requirement in the WSN consisting of acoustic sensor nodes. In the proposed algorithm, each sensor node carries out partial particle filter with its local data and the neighbor nodes' data in distributed manner. then local results of selected sensor nodes are fused to make final decision. To simplify the computation of particle filter, lightweight sampling and resampling schemes are introduced, where a simple range-free algorithm is adopted to restrict potential area of target's location. the experimental results verify that the proposed distributed lightweight particle filter algorithm can effectively achieve target tracking in WSN with low resource consumption. Compared to previous target localization algorithms, such as maximum likelihood estimation and centralized particle filter, the proposed algorithm has outstanding performance in accurate target tracking and low resources consumption.
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