High level system modeling has significant impact on the early analysis and evaluation of the embedded electronic systems. Being a class of distributed embedded systems, wireless ad hoc sensor networks can benefit fro...
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Topology control is an effective method to improve the energy efficiency of wireless sensor networks (WSNs). Traditional approaches are based on the assumption that a pair of nodes is either "connected" or &...
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ISBN:
(纸本)9781424431748
Topology control is an effective method to improve the energy efficiency of wireless sensor networks (WSNs). Traditional approaches are based on the assumption that a pair of nodes is either "connected" or "disconnected". These approaches are called connectivity-based topology control. In real environments however, there are many intermittently connected wireless links called lossy links. Taking a succeeded lossy link as an advantage, we are able to construct more energy-efficient topologies. Towards this end, we propose a novel opportunity-based topology control. We show that opportunity-based topology control is a problem of NP-hard. To address this problem in a practical way, we design a fully distributed algorithm called CONREAP based on reliability theory. We prove that CONREAP has a guaranteed performance. The worst running time is O(|E|) where E is the link set of the original topology, and the space requirement for individual nodes is O(d) where d is the node degree. To evaluate the performance of CONREAP we design and implement a prototype system consisting of 50 Berkeley Mica2 motes. We also conducted comprehensive simulations. Experimental results show that compared with the connectivity-based topology control algorithms, CONREAP can improve the energy efficiency of a network up to 6 times.
We propose a novel algorithm of counting indistinguishable objects by a collection of sensors. The information on multiple counting is recovered from the stochastic correlation patterns.
ISBN:
(数字)9783540691709
ISBN:
(纸本)9783540691693
We propose a novel algorithm of counting indistinguishable objects by a collection of sensors. The information on multiple counting is recovered from the stochastic correlation patterns.
The localization process in wireless sensor networks must produce precise positions at minimal requirements. It is hard to comply with these conditions, due to the strong resource limitation of each sensor node. Altho...
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We propose Tug-of-War (ToW) for data storage and query mechanism in sensor networks. ToW is based on the concept of data-centric storage where events and queries meet on some rendezvous node so that queries for the ev...
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ISBN:
(数字)9783540691709
ISBN:
(纸本)9783540691693
We propose Tug-of-War (ToW) for data storage and query mechanism in sensor networks. ToW is based on the concept of data-centric storage where events and queries meet on some rendezvous node so that queries for the events can be sent directly to the node without being flooded to the network. However, rather than fixing the rendezvous point, we dynamically replicate the point and float them in between query nodes and event sensor nodes according to the relative frequencies of events and queries. By carefully calculating the optimal setting, we are able to minimize the total communication costs while adapting to the environment.
Focusing on the assessment of environmental noise pollution in urban areas, we provide qualitative considerations and experimental results to show the feasibility of wireless sensor networks to be used in this context...
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ISBN:
(数字)9783540691709
ISBN:
(纸本)9783540691693
Focusing on the assessment of environmental noise pollution in urban areas, we provide qualitative considerations and experimental results to show the feasibility of wireless sensor networks to be used in this context. To select the most suitable data collection protocol for the specific noise monitoring application scenario, we evaluated the energy consumption performances of the CTP (Collection Tree Protocol) and DMAC protocols. Our results show that CTP, if used enabling the LPL (Low Power Listening) option, provides the better performances trade-off for noise monitoring applications.
sensor network simulators are important tools for the design, implementation and evaluation of wireless sensor networks. Due to the large computational requirements necessary for simulating wireless sensor networks wi...
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ISBN:
(数字)9783540691709
ISBN:
(纸本)9783540691693
sensor network simulators are important tools for the design, implementation and evaluation of wireless sensor networks. Due to the large computational requirements necessary for simulating wireless sensor networks with high fidelity, many wireless sensor network simulators, especially the cycle accurate ones, employ distributed simulation techniques to leverage the combined resources of multiple processors or computers. However, the large overheads in synchronizing sensor nodes during distributed simulations of sensor networks result in a significant increase in simulation time. In this paper, we present a novel technique that could significantly reduce such overheads by minimizing the number of sensor node synchronizations during simulations. We implement this technique in Avrora, a widely used parallel sensor network simulator, and achieve a speedup of up to 11 times in terms of average simulation speed in our test cases. For applications that have lower duty cycles, the speedups are even greater since the performance gains are proportional to the sleep times of the sensor nodes.
Recently proposed usage control concept and models extend traditional access control models with features for contemporary distributedcomputingsystems, including continuous access control in dynamic computing enviro...
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Many mission critical wireless sensor networks require an efficient, lightweight and flexible intrusion detection algorithm to identify malicious attackers. In this paper, we propose a distributed group-based intrusio...
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The usage of workflow technology to model and execute business processes is widespread in many enterprises and within the software industry. With the growing maturity of sensors, wireless communication, and distribute...
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ISBN:
(纸本)9781424442362
The usage of workflow technology to model and execute business processes is widespread in many enterprises and within the software industry. With the growing maturity of sensors, wireless communication, and distributedcomputing environments, we can enhance this approach to enable smart workflows, which are business processes crossing the boundary to the physical world. Applications for such processes can be found in many application domains, like logistics or in smart factory environments. To realize smart workflows, workflow engines can be coupled with existing context provisioning systems. However, there is a gap between the rather low-level provisioning of context (e.g., sensor data and stock information) and the concepts needed in smart workflows (e.g., "is a spare tool available?"). The main contribution of this paper is to bridge this gap: we show how integration processes can be used to provide context information at different semantical levels for smart workflows.
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