The system level hardware architecture of individual nodes in a distributed wireless sensor network has not received adequate attention. A novel hardware architecture based on the concept of task specific modular comp...
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The system level hardware architecture of individual nodes in a distributed wireless sensor network has not received adequate attention. A novel hardware architecture based on the concept of task specific modular computing provides both the high flexibility and power efficiency required for effective distributed sensing solutions. This paper presents this newly developed architecture and provides an analysis of two possible methods for module interaction. Results from simulations based on this analysis are given. Finally, a brief description of the hardware and software design and prototype implementation of the modular architecture for sensorsystems (MASS) is given to show the ease of use of the conceptual architecture.
In this paper, the distributed recovery units for FM and PPM demodulation in wireless sensor networks is proposed and is showed that, the method introduces very little amount of distortion to recovered signal. With si...
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ISBN:
(纸本)3540264221
In this paper, the distributed recovery units for FM and PPM demodulation in wireless sensor networks is proposed and is showed that, the method introduces very little amount of distortion to recovered signal. With simulations, we have examined several different parameters. Besides, two different filtering schemes are simulated. Effect of iteration coefficient (lambda) on stability and convergence rate is investigated for different sampling and filtering methods. Next, we have studied the noise effect in demodulation with this method. Simulations results are included to verify convergence.
We present Ragobot, a fully-featured validated platform for use in mobile sensor networks. Ragobot is a robot of small dimensions with features that surpass those provided by many other robots in this category. Ragobo...
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ISBN:
(纸本)3540264221
We present Ragobot, a fully-featured validated platform for use in mobile sensor networks. Ragobot is a robot of small dimensions with features that surpass those provided by many other robots in this category. Ragobot hardware and software are implemented with modularity as one of the main considerations;therefore, these are easy to upgrade and customize according to the needs of each specific application. Moreover, we present Ragoworld, a controlled physical space for the development and evaluation of mobile sensor network algorithms.
Since nodes in a sensor network have limited energy, prolonging the network lifetime and improving scalability become important. In this paper, we propose a distributed weight-based energy-efficient hierarchical clust...
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ISBN:
(纸本)3540264221
Since nodes in a sensor network have limited energy, prolonging the network lifetime and improving scalability become important. In this paper, we propose a distributed weight-based energy-efficient hierarchical clustering protocol (DWEHC). Each node first locates its neighbors (in its enclosure region), then calculates its weight which is based on its residual energy and distance to its neighbors. The largest weight node in a neighborhood may become a clusterhead. Neighboring nodes will then join the clusterhead hierarchy. The clustering process terminates in O(1) iterations, and does not depend on network topology or size. Simulations show that DWEHC clusters have good performance characteristics.
The proliferation of networked embedded devices such as wireless sensors ushers in an entirely new class of computing platforms. We need new ways to organize and program them. Unlike existing platforms, systems such a...
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We present a distributed, localized and integrated approach for establishing both low-level (i.e. exploration of 1-hop neighbors, interference avoidance) and high-level (a subgraph of the unit-disk graph) infrastructu...
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ISBN:
(纸本)3540264221
We present a distributed, localized and integrated approach for establishing both low-level (i.e. exploration of 1-hop neighbors, interference avoidance) and high-level (a subgraph of the unit-disk graph) infrastructure in wireless sensor networks. More concretely, our proposed scheme constructs a subgraph of the unit-disk graph which is connected, planar and has power stretch factor of I (the well-known Gabriel graph intersected with the unit disk-graph) and - most importantly - deals explicitly with the problem of interference between nearby stations. Due to our interleaved approach of constructing low- and high-level infrastructure simultaneously, this results in considerable improvements in running time when applied in dense wireless networks. To substantiate the advantages of our approach, we introduce a novel distribution model inspired by actual sensing applications and analyze our new approach in that framework.
The widespread dissemination of small-scale sensor nodes has sparked interest in a powerful new database abstraction for sensor networks: Clients "program" the sensors through queries in a high-level declara...
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ISBN:
(纸本)3540264221
The widespread dissemination of small-scale sensor nodes has sparked interest in a powerful new database abstraction for sensor networks: Clients "program" the sensors through queries in a high-level declarative language permitting the system to perform the low-level optimizations necessary for energy-efficient query processing. In this paper we consider multi-query optimization for aggregate queries on sensor networks. We develop a set of distributed algorithms for processing multiple queries that incur minimum communication while observing the computational limitations of the sensor nodes. Our algorithms support incremental changes to the set of active queries and allow for local repairs to routes in response to node failures. A thorough experimental analysis shows that our approach results in significant energy savings, compared to previous work.
Recent research has shown that using a mobile element to collect and carry data mechanically from a sensor network has many advantages over static multihop routing. We have an implementation as well employing a single...
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ISBN:
(纸本)3540264221
Recent research has shown that using a mobile element to collect and carry data mechanically from a sensor network has many advantages over static multihop routing. We have an implementation as well employing a single mobile element. But the network scalability and traffic may make a single mobile element insufficient. In this paper we investigate the use of multiple mobile elements. In particular, we present load balancing algorithm which tries to balance the number of sensor nodes each mobile element services. We show by simulation the benefits of load balancing.
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