The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Paul J M Havinga - One of the best experts on this subject based on the ideXlab platform.
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outlier detection techniques for Wireless Sensor Networks a survey
IEEE Communications Surveys and Tutorials, 2010Co-Authors: Yu Zhang, Nirvana Meratnia, Paul J M HavingaAbstract:In the field of Wireless Sensor Networks, those measurements that significantly deviate from the normal pattern of sensed data are considered as outliers. The potential sources of outliers include noise and errors, events, and malicious attacks on the network. Traditional outlier detection techniques are not directly applicable to Wireless Sensor Networks due to the nature of Sensor data and specific requirements and limitations of the Wireless Sensor Networks. This survey provides a comprehensive overview of existing outlier detection techniques specifically developed for the Wireless Sensor Networks. Additionally, it presents a technique-based taxonomy and a comparative table to be used as a guideline to select a technique suitable for the application at hand based on characteristics such as data type, outlier type, outlier identity, and outlier degree.
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outlier detection techniques for Wireless Sensor Networks a survey
CTIT technical report series, 2008Co-Authors: Yu Zhang, Nirvana Meratnia, Paul J M HavingaAbstract:In the field of Wireless Sensor Networks, measurements that significantly deviate from the normal pattern of sensed data are considered as outliers. The potential sources of outliers include noise and errors, events, and malicious attacks on the network. Traditional outlier detection techniques are not directly applicable to Wireless Sensor Networks due to the multivariate nature of Sensor data and specific requirements and limitations of the Wireless Sensor Networks. This survey provides a comprehensive overview of existing outlier detection techniques specifically developed for the Wireless Sensor Networks. Additionally, it presents a technique-based taxonomy and a decision tree to be used as a guideline to select a technique suitable for the application at hand based on characteristics such as data type, outlier type, outlier degree.
Kamalrulnizam Abu Bakar - One of the best experts on this subject based on the ideXlab platform.
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multipath routing in Wireless Sensor Networks survey and research challenges
Sensors, 2012Co-Authors: Marjan Radi, Behnam Dezfouli, Kamalrulnizam Abu BakarAbstract:A Wireless Sensor network is a large collection of Sensor nodes with limited power supply and constrained computational capability. Due to the restricted communication range and high density of Sensor nodes, packet forwarding in Sensor Networks is usually performed through multi-hop data transmission. Therefore, routing in Wireless Sensor Networks has been considered an important field of research over the past decade. Nowadays, multipath routing approach is widely used in Wireless Sensor Networks to improve network performance through efficient utilization of available network resources. Accordingly, the main aim of this survey is to present the concept of the multipath routing approach and its fundamental challenges, as well as the basic motivations for utilizing this technique in Wireless Sensor Networks. In addition, we present a comprehensive taxonomy on the existing multipath routing protocols, which are especially designed for Wireless Sensor Networks. We highlight the primary motivation behind the development of each protocol category and explain the operation of different protocols in detail, with emphasis on their advantages and disadvantages. Furthermore, this paper compares and summarizes the state-of-the-art multipath routing techniques from the network application point of view. Finally, we identify open issues for further research in the development of multipath routing protocols for Wireless Sensor Networks.
Yu Zhang - One of the best experts on this subject based on the ideXlab platform.
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outlier detection techniques for Wireless Sensor Networks a survey
IEEE Communications Surveys and Tutorials, 2010Co-Authors: Yu Zhang, Nirvana Meratnia, Paul J M HavingaAbstract:In the field of Wireless Sensor Networks, those measurements that significantly deviate from the normal pattern of sensed data are considered as outliers. The potential sources of outliers include noise and errors, events, and malicious attacks on the network. Traditional outlier detection techniques are not directly applicable to Wireless Sensor Networks due to the nature of Sensor data and specific requirements and limitations of the Wireless Sensor Networks. This survey provides a comprehensive overview of existing outlier detection techniques specifically developed for the Wireless Sensor Networks. Additionally, it presents a technique-based taxonomy and a comparative table to be used as a guideline to select a technique suitable for the application at hand based on characteristics such as data type, outlier type, outlier identity, and outlier degree.
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outlier detection techniques for Wireless Sensor Networks a survey
CTIT technical report series, 2008Co-Authors: Yu Zhang, Nirvana Meratnia, Paul J M HavingaAbstract:In the field of Wireless Sensor Networks, measurements that significantly deviate from the normal pattern of sensed data are considered as outliers. The potential sources of outliers include noise and errors, events, and malicious attacks on the network. Traditional outlier detection techniques are not directly applicable to Wireless Sensor Networks due to the multivariate nature of Sensor data and specific requirements and limitations of the Wireless Sensor Networks. This survey provides a comprehensive overview of existing outlier detection techniques specifically developed for the Wireless Sensor Networks. Additionally, it presents a technique-based taxonomy and a decision tree to be used as a guideline to select a technique suitable for the application at hand based on characteristics such as data type, outlier type, outlier degree.
Fatih Alagoz - One of the best experts on this subject based on the ideXlab platform.
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mac protocols for Wireless Sensor Networks a survey
IEEE Communications Magazine, 2006Co-Authors: Ilker Demirkol, Cem Ersoy, Fatih AlagozAbstract:Wireless Sensor Networks are appealing to researchers due to their wide range of application potential in areas such as target detection and tracking, environmental monitoring, industrial process monitoring, and tactical systems. However, low sensing ranges result in dense Networks and thus it becomes necessary to achieve an efficient medium-access protocol subject to power constraints. Various medium-access control (MAC) protocols with different objectives have been proposed for Wireless Sensor Networks. In this article, we first outline the Sensor network properties that are crucial for the design of MAC layer protocols. Then, we describe several MAC protocols proposed for Sensor Networks, emphasizing their strengths and weaknesses. Finally, we point out open research issues with regard to MAC layer design.
Marjan Radi - One of the best experts on this subject based on the ideXlab platform.
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multipath routing in Wireless Sensor Networks survey and research challenges
Sensors, 2012Co-Authors: Marjan Radi, Behnam Dezfouli, Kamalrulnizam Abu BakarAbstract:A Wireless Sensor network is a large collection of Sensor nodes with limited power supply and constrained computational capability. Due to the restricted communication range and high density of Sensor nodes, packet forwarding in Sensor Networks is usually performed through multi-hop data transmission. Therefore, routing in Wireless Sensor Networks has been considered an important field of research over the past decade. Nowadays, multipath routing approach is widely used in Wireless Sensor Networks to improve network performance through efficient utilization of available network resources. Accordingly, the main aim of this survey is to present the concept of the multipath routing approach and its fundamental challenges, as well as the basic motivations for utilizing this technique in Wireless Sensor Networks. In addition, we present a comprehensive taxonomy on the existing multipath routing protocols, which are especially designed for Wireless Sensor Networks. We highlight the primary motivation behind the development of each protocol category and explain the operation of different protocols in detail, with emphasis on their advantages and disadvantages. Furthermore, this paper compares and summarizes the state-of-the-art multipath routing techniques from the network application point of view. Finally, we identify open issues for further research in the development of multipath routing protocols for Wireless Sensor Networks.
