Adaptive Packet Prioritisation for Wireless Sensor Networks

Hey,; Gelenbe,

doi:10.1109/ngi.2009.5175755

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…To evaluate the performance of our routing solution, we compared its performance with Random Re-Routing protocol (RRR) [15,25] which uses also different strategy for routing of alert data and routine data. High priority packets of unusual events are routed along the preferred path (i.e.…”

Section: Studying the Network Layer Performancesmentioning

confidence: 99%

Application and Network Layers Design for Wireless Sensor Network to Supervise Chemical Active Product Warehouse

Zouinkhi¹,

Mekki²,

Abdelkrim³

2014

IJCSEA

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Section: Studying the Network Layer Performancesmentioning

confidence: 99%

Application and Network Layers Design for Wireless Sensor Network to Supervise Chemical Active Product Warehouse

Zouinkhi¹,

Mekki²,

Abdelkrim³

2014

IJCSEA

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“…A survey of wavelet based network anomaly detection approaches in the context of WSN can be found in [20]. In recent research, another significant work [63] can be found for anomaly detection by identifying outlier based on wavelets. In addition, research reported in [64,65,66,67,68] present significant work dealing with automatic network response to unexpected events and improvement in quality of service (QoS).…”

Section: Signal Processing Based Approachmentioning

confidence: 99%

A Survey of Outlier Detection Methods in Network Anomaly Identification

Gogoi

Bhattacharyya

Borah

et al. 2011

The Computer Journal

210

105

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The detection of outliers has gained considerable interest in data mining with the realization that outliers can be the key discovery to be made from very large databases. Outliers arise due to various reasons such as mechanical faults, changes in system behavior, fraudulent behavior, human error and instrument error. Indeed, for many applications the discovery of outliers leads to more interesting and useful results than the discovery of inliers. Detection of outliers can lead to identification of system faults so that administrators can take preventive measures before they escalate. It is possible that anomaly detection may enable detection of new attacks. Outlier detection is an important anomaly detection approach. In this paper, we present a comprehensive survey of well known distance-based, density-based and other techniques for outlier detection and compare them. We provide definitions of outliers and discuss their detection based on supervised and unsupervised learning in the context of network anomaly detection.

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“…Another QoS considering method for sensor networks was proposed by Gelenbe et al [18][19][20]. Their routing method gives priority levels to the nodes in their coverage area according to their distances to the sink.…”

Section: Related Workmentioning

confidence: 99%

A Multichannel Cross-Layer Architecture for Multimedia Sensor Networks

Cevik

Zaim

2013

International Journal of Distributed Sensor Networks

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Depending upon the technological developments, the same fast evolution has occurred in the structures of sensor networks, their composing devices which are sensor nodes, and their application areas. Those tiny, energy-constrained, mostly non-real-time data transmitting sensor nodes have evolved to more energy-containing, camera-adapted, real-time multimedia-data-transmitting devices. Developments in the usage areas and the capabilities have revealed some other problems such as time limited data transmission. In this paper, we propose a multichannel cross-layer architecture for Quality of Service (QoS) constrained multimedia sensor networks. The proposed architecture considers both the time and energy efficiency concepts. Energy efficiency is succeeded by ensuring the fair load distribution among the nodes during a real-time multimedia packet stream transmission. Besides ensuring the fair load distribution, on-time packet transmission is also assured by constructing the paths with a hard reservation technique depending on the predetermined QoS constraints. Simulations show that the proposed architecture provides higher performance than the Greedy approach and the LEERA scheme. 2 International Journal of Distributed Sensor Networks Wireless Sensor Network (MWSN) [5, 6]. After these new technologies, new problems and requirements emerge, such as on time transmission, low loss rate, and small jitter. Obviously, like all other communication technologies, a constant QoS value must be supplied by the network and its communication protocols during the transmission of multimedia data. Most of the traditional WSNs gather and transmit the physical data, which is delay tolerant and does not require a specific service quality [6]. In this paper, we propose a multichannel, cross-layer structure, in which packet forwarding is made according to the residual energy levels and geographical coordinates of the nodes. These nodes are positioned along the paths, which ensure the QoS parameters defined at the beginning of the data transmission. In order to provide load distribution, next hop selection is done by considering the residual energy levels of the nodes in the coverage area. Besides, to increase channel utilization, overall channel frequency is divided into data channels and a control channel, which is only used for request message and non-real-time data transmission. Multiple paths with different QoS constraints can be constructed by using multiple channels. Hence, different node sets can be employed in lifetime maximization. Additionally, higher channel utilization is succeeded by using multiple channels. Before the start of real-time data transmission, hard bandwdith reservation is employed as done in the ATM networks. Thereby, the required QoS is assured. The rest of this paper is organized as follows. Section 2 gives brief information about the structure, features, and requirements of MWSNs. In Section 3, related studies about MWSNs are discussed. Section 4 defines the architecture we construct. Section 5 gives the simul...

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Adaptive Packet Prioritisation for Wireless Sensor Networks

Cited by 5 publications

References 8 publications

Application and Network Layers Design for Wireless Sensor Network to Supervise Chemical Active Product Warehouse

Application and Network Layers Design for Wireless Sensor Network to Supervise Chemical Active Product Warehouse

A Survey of Outlier Detection Methods in Network Anomaly Identification

A Multichannel Cross-Layer Architecture for Multimedia Sensor Networks

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