It continues to be a hot topic how to increase the throughput of communication protocols in distributed system, which reflects in the emergence of new standards and the numerous research projects in this area. This ar...
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Pervasive healthcare systems are trying to address the expected demand for caretaking and out-of-hospital monitoring. These systems allow for automatic and distributed monitoring of patients, but many of them are time...
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ISBN:
(纸本)9781424420209
Pervasive healthcare systems are trying to address the expected demand for caretaking and out-of-hospital monitoring. These systems allow for automatic and distributed monitoring of patients, but many of them are time consuming with regards to installation and maintenance configuration of the sensor network and communication platform. To avoid burdening caretaking staff and relatives with installing and configuring system software and hardware, a research project at the Engineering College of Aarhus, Pervasive Healthcare lab. has been trying to achieve a zero-configuration solution, removing most handling while at the users home. Achieving a true zero-configuration strategy has proven hard to implement especially with regards to the coupling of the individual wireless sensors to a specfic patient. This paper discusses the experiences gained so far with developing a prototype solution, including how zero-configuration was original v conceived, which problems were identified, and which solutions are being tested.
Anchor-free localization algorithms do not depend on the existence of anchor objects. Since no anchor objects are required, the localization algorithm can still be applied to problems for which setting anchor objects ...
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ISBN:
(纸本)9781479932474;9780769550237
Anchor-free localization algorithms do not depend on the existence of anchor objects. Since no anchor objects are required, the localization algorithm can still be applied to problems for which setting anchor objects is difficult. In the anchor-free localization problem, the majority of the solutions have a specific requirement in order to achieve high-accuracy localization. In a real environment, it is difficult to maintain such an environment. In this paper, we propose a distance-based sequence for mobile localization (DSML) algorithm in order to estimate the positions of sensor nodes based on receive signal strength (RSS) measurements. We evaluated the variation of distance in order to assure the estimation accuracy using the proposed algorithm. Simulation results reveal that the proposed method can assure the estimation accuracy in anchorless localization. The results also demonstrated improvements in localization error in the range of 6% to 83%.
In Wireless sensor Network all sensor nodes have the equal probability to fail and therefore the data delivery in sensor networks is inherently faulty and unpredictable. Most of the sensor network applications need re...
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ISBN:
(纸本)9781467345286
In Wireless sensor Network all sensor nodes have the equal probability to fail and therefore the data delivery in sensor networks is inherently faulty and unpredictable. Most of the sensor network applications need reliable data delivery to sink instead of point-to-point reliability. Therefore, it is vital to provide fault tolerant techniques for distributedsensor network applications. This paper presents a robust recovery mechanism of nodes failure in a certain region of the network during data delivery. It dynamically finds new node to route data from source nodes to sink. The proposed algorithm is integrated easily in data delivery mechanisms [11] where area failure in a certain geographical region is not considered. This recovery mechanism is focused on multiple-sink partitioned network. It is found that it quickly selects alternative node from its 1-hop neighbor list when there are no forwarding nodes available and establishes route from source to sink. Simulations are done in Matlab environment.
作者:
Feng, ShanLiu, RuifangWang, QinlongShi, RuishengBUPT
Sch Informat & Commun Engn Beijing 100876 Peoples R China BUPT
Key Lab Trustworthy Distributed Comp & Serv Educ Minist Beijing 100876 Peoples R China BUPT
Sch Humanities Beijing 100876 Peoples R China
The fast growth of Internet web documents has posed new challenges on how to efficiently and accurately manage and retrieve the textual collections, text clustering plays a significant role. Traditional document clust...
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ISBN:
(纸本)9781479947195
The fast growth of Internet web documents has posed new challenges on how to efficiently and accurately manage and retrieve the textual collections, text clustering plays a significant role. Traditional document clustering is an unsupervised categorization of a given document collection based on vector space model, which is a high sparse vector. In this paper, we propose a means to fight the existing shortcomings with a word vector in distributed representation which is obtained from a neural probabilistic language model. To improve the representation of document vector and enhance the accuracy of text clustering, we first computing semantic similarities between words using word embedded vector, and then expanding the keywords of each document. The experiment results show the method can improve the accuracy of clustering.
This paper presents a novel distributed probe system to measure the performance of the network in the cloud service system. Specifically, a three-layer architecture is designed to support a large number of network pro...
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ISBN:
(纸本)9781479947195
This paper presents a novel distributed probe system to measure the performance of the network in the cloud service system. Specifically, a three-layer architecture is designed to support a large number of network probes. Furthermore, the probes, which are used to implement the measurements across networks, have negligible influence on the entire network. Compared with the existing methods, our approach is more flexible and adaptable to the large-scale network. Our method can be adapted to the network in various kinds of cloud service systems, including private, public and hybrid ones. Moreover, the performance data will be returned in real time. By utilizing a statistical algorithm to analyze the data, our system will give the Cloud Service Administrator (CSA) a better and deeper evaluation of the situation of the network in the cloud service system. Experimental results demonstrate that our system is efficient and practical.
Efficient scheduling of time slots in a time division multiple access scheme (TDMA) is important for low power wireless sensor networks. Existing algorithms are either centralized with poor scalability, or distributed...
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ISBN:
(纸本)9781424413119
Efficient scheduling of time slots in a time division multiple access scheme (TDMA) is important for low power wireless sensor networks. Existing algorithms are either centralized with poor scalability, or distributed but with high complexity. In this paper, we explain how TDMA could be more energy efficient by careful slot scheduling in wireless sensor networks. Then we propose a deterministic distributed TDMA scheduling algorithm (DD-TDMA). In DD-TDMA, each sensor node schedules its own TDMA slot based on its neighborhood information, and packet collisions are gracefully avoided during scheduling. The experimental results show that compared to other centralized and distributed scheduling algorithms, DD-TDMA achieves better performance in terms of schedule length, running time and message complexity.
sensor networks have a wide range of potential, practical and useful applications. However, there are issues that need to be addressed for efficient operation of sensor network systems in real applications. To extend ...
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ISBN:
(纸本)9781424413119
sensor networks have a wide range of potential, practical and useful applications. However, there are issues that need to be addressed for efficient operation of sensor network systems in real applications. To extend the lifetime of a sensor network, clustering algorithm is a kind of key technique used to reduce energy consumption, which can increase network scalability and lifetime. In this paper, we proposed a distributed Energy Balance Clustering (DEBC) protocol for heterogeneous network. Cluster heads are selected by a probability depending on the ratio between remaining energy of node and the average energy of network. The high initial and remaining energy nodes have more chances to be the cluster heads than the low energy nodes. Simulation result shows that our protocol provides longer lifetime than the existing clustering protocol and uses the best of energy in heterogeneous network.
Edge computing has been recently introduced as an intermediary between Internet of Things (IoT) deployments and the cloud, providing data or control facilities to participating IoT devices. This includes actively supp...
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ISBN:
(纸本)9781728123653
Edge computing has been recently introduced as an intermediary between Internet of Things (IoT) deployments and the cloud, providing data or control facilities to participating IoT devices. This includes actively supporting IoT resource discovery, something particularly pertinent when building large-scale, distributed and heterogeneous IoT systems. Moreover, edge devices supporting resource discovery are required to meet the stringent requirements prevalent in IoT systems including high availability, low-latency, and privacy. To this end, we present a resource discovery platform for IoT resources situated at the edge of the network. Our approach aims at providing a seamless discovery process that is able to (i) extend the covered area by deploying additional edge nodes and (ii) assist in the development of new IoT applications that target already available resources. Within our proposed platform, devices located in a certain proximity connect and form an edge-to-edge network that we call an edge neighborhood - our edge-to-edge metadata replication platform enables participating devices to discover available resources. Our solution is characterized by absence of centralization, as edge nodes exchange metadata about available resources within their scope in a peer-to-peer manner.
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