this paper presents a novel architectural solution to address the problem of scalable routing in very large sensor networks. We develop a routing solution off-network control processing (ONCP) that achieves control sc...
this paper presents a novel architectural solution to address the problem of scalable routing in very large sensor networks. We develop a routing solution off-network control processing (ONCP) that achieves control scalability in large sensor networks by shifting certain amount of routing functions to an ldquooff-networkrdquo server. A tiered and hybrid routing approach, consisting of ldquocoarse grainrdquo global routing, and distributed ldquofine grainrdquo local routing is proposed for achieving scalability by avoiding network wide control message dissemination. We present the ONCP architectural concepts and analytically characterize its performance in relations to both flat and hierarchical sensor routing architectures. We also show ns2 based experimental results indicating that for large sensor networks with realistic data models, the packet drop, latency and energy performance of ONCP can be significantly better than those for flat and cluster-based protocols.
Wi-Fi-based mesh networks have been considered as a viable option to provide wireless coverage for a vast area, such as community-wide or city-wide. However, interference due to multihop transmissions and potential is...
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Wi-Fi-based mesh networks have been considered as a viable option to provide wireless coverage for a vast area, such as community-wide or city-wide. However, interference due to multihop transmissions and potential isolated (disconnected) nodes are the major obstacles to achieve high performance. In this paper, we propose a heterogeneous wireless network architecture, consisting of Wi-Fi and WiMAX, to overcome these limitations. We first construct an optimization problem to analyze the benefits of heterogeneous networks. then, we design a practical protocol to efficiently combine the resources of Wi-Fi and WiMAX networks. the evaluations show that our new scheme greatly improves the system performance in terms of throughput and fairness.
Contour maps, showing topological distribution of extracted features, are crucial for many applications. Building a dynamic contour map in a wireless sensor network is a challenging task due to the constrained network...
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ISBN:
(纸本)9781424431748
Contour maps, showing topological distribution of extracted features, are crucial for many applications. Building a dynamic contour map in a wireless sensor network is a challenging task due to the constrained network resources. In this paper, we present the design of a contour mapping engine (CME) in wireless sensor networks. Our design incorporates in-network processing based on binary classification to reduce the total number of active nodes. the underlying network architecture is analyzed to derive an optimal configuration. We show, by extensive simulations, the superiority of CME over the state-of-the-art contour mapping techniques.
this paper presents an integrated sink navigation and data routing framework called network-assisted data collection (NADC) in which optimum trajectories for a mobile data harvester (MDH) are computed such that a desi...
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this paper presents an integrated sink navigation and data routing framework called network-assisted data collection (NADC) in which optimum trajectories for a mobile data harvester (MDH) are computed such that a desired balance between energy-efficiency and collection delay is achieved. We have formulated the problem of mobile sink based data collection using a configurable knob (k) to find the desired balance. the key concept is to appropriately adjust the data routing and mobile sink trajectory by varying parameter k. the paper introduces a large slew of application scenarios withtheir unique optimization objectives, and demonstrates the relevance of the proposed framework in each such scenario. the notable solution components of NADC include a fully distributed and network assisted MDH navigation mechanism that does not rely on sensor localization services, and a multi-hop routing mechanism which works withthe underlying sink navigation so that the sensor data can be aggregated and uploaded through dynamically chosen gateway nodes located around the sink trajectory.
In quality management In an assembly plants it is very important to verify whether workers are following instructions or not. However, it has been considered there is no perfect way to do it. Generally, most assembly ...
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ISBN:
(纸本)9784907764319
In quality management In an assembly plants it is very important to verify whether workers are following instructions or not. However, it has been considered there is no perfect way to do it. Generally, most assembly processes have steps to check quality and work in former processes. However, there are some cases which are difficult to be verified in later processes whether operations were done according to instructions or not. For example, to fasten some parts to other part with some screws, it is necessary to screw in diagonal order. However, it is not easy to judge from finished pieces whether operations were done in diagonal order. thereupon, we have been developing a system to improve quality of industrial products. this system employs terrestrial magnetism sensors and accelerometers to oversee motions of workers, and these sensors are attached to their arm/hand or tools. We have done an experiment to measure workers' motions withthem in an actual car assembly plant. In this paper, we discuss its result and how sensor's output generated when operations were done in correct order differs the one generated when operations were done in incorrect order.
To benefit from data aggregation in large scale sensor networks, an aggregation point, i.e. the place where data are aggregated, must be close to sources. In event triggered sensor networks, this can be achieved by dy...
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To benefit from data aggregation in large scale sensor networks, an aggregation point, i.e. the place where data are aggregated, must be close to sources. In event triggered sensor networks, this can be achieved by dynamically constructing a tree connecting the sources rooted at a nearby node. However, this incurs high control and maintenance overhead. With static trees, the distance (Delta) between sources and the aggregation point can be as high as O(n) where n is the number of nodes in the network. this diminishes the benefit of data aggregation, thereby limiting the scalability of static trees. In this paper we propose AFT (alternative forwarding tree), a structure with multi-level overlapping clusters. Packet forwarding decisions on AFT are made on the fly when packets are being forwarded and it bounds the distance between the aggregation point and sources by O(delta) irrespective of network size, where delta is the diameter of the event. this guarantees that packets can be aggregated near sources without the overhead of constructing a dynamic structure and therefore is scalable. We prove that in the worst case, AFT guarantees aggregation at a node that is at most 2(1 + radic13)delta away from the sources.
Underwater multimedia acoustic sensor networks will enable new underwater applications such as multimedia coastal and tactical surveillance, undersea explorations, picture and video acquisition and classification, and...
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Underwater multimedia acoustic sensor networks will enable new underwater applications such as multimedia coastal and tactical surveillance, undersea explorations, picture and video acquisition and classification, and disaster prevention. Because of the different requirements of these applications, it is needed to provide efficient differentiated-service support to delay-sensitive and delay-tolerant data traffic as well as to loss-sensitive and loss-tolerant traffic. the objective of this paper is twofold: 1) explore the interactions of different underwater communication functionalities such as modulation, forward error correction, medium access control and routing, and 2) develop a distributed cross-layer solution integrating specialized communication functionalities that cooperate to allow multiple devices to efficiently and fairly share the bandwidth-limited high-delay underwater acoustic medium.
In this paper we present a platform for developing mobile, locative and collaborative distributed games comprised of small programmable object technologies (e.g., wireless sensor networks) and traditional networked pr...
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In this paper we present a platform for developing mobile, locative and collaborative distributed games comprised of small programmable object technologies (e.g., wireless sensor networks) and traditional networked processors. the platform is implemented using a combination of JAVA Standard and Mobile editions, targeting also mobile phones that have some kind of sensors installed. We briefly present the architecture of our platform and demonstrate its capabilities by reporting two pervasive multiplayer games. the key characteristic of these games is that players interact with each other and their surrounding environment by moving, running and gesturing as a means to perform game related actions, using small programmable object technologies.
We consider surveillance applications through wireless sensor networks (WSNs) with fully accessible areas to be monitored. In this context, the WSN topology can be planned a priori to maximize application efficiency. ...
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We consider surveillance applications through wireless sensor networks (WSNs) with fully accessible areas to be monitored. In this context, the WSN topology can be planned a priori to maximize application efficiency. We propose an optimization framework for selecting the positions of wireless sensors to detect mobile targets traversing a given area. By leveraging the concept of exposure as a measure of coverage quality, we propose two problem versions: the minimization of the sensors installation cost while guaranteeing a minimum exposure, and the maximization of the exposure of the least exposed path subject to a budget on the sensors installation cost. We present compact mixed integer-linear programming formulations for these problems that can be solved to optimality for reasonable-sized network instances. Moreover, we develop a heuristic that is able to provide near-optimal solutions of the same instances in short computing time and also to tackle large size instances.
Genetic algorithms (GAs) are algorithms of exploration based on natural selection and on genetic. they are very flexible tools used to optimise very irregular functions, badly conditioned or complexes to calculate. th...
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Genetic algorithms (GAs) are algorithms of exploration based on natural selection and on genetic. they are very flexible tools used to optimise very irregular functions, badly conditioned or complexes to calculate. the use of reproduction operators: crossover and mutation, and also the cumulative information prune the search space and generate a set of plausible solutions. Also, other techniques based on the evolutionary strategies (ESs) are proposed in literature as heuristic optimisation techniques. In this work we propose an optimisation of distributed OS-CFAR systems parameters by both a GA and an ES in order to optimise the threshold and also to give a comparison between the two manners to achieve the best performance in detection. the results showed that some improvement had brought by the use of the ES according to the number of sensors in the system, the number of cells in the sensor, the Probability of false alarm (Pfa), and the fusion rule.
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