Target Trajectory Querying in Wireless Sensor Networks

Zheng, Jinhua; Jia, Weijia; Wang, Guanchao; Wu, Jie

doi:10.1109/icc.2010.5502630

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…Most gradient based routing [22,23] uses the natural gradients of physical phenomena, which are based on the spatial distribution of many physical quantities, such as temperature, illumination and so on. Gradients imposed by natural laws can be far from perfect guides, as witnessed by the existence of local extreme or large plateau regions [24,25,26].…”

Section: Related Workmentioning

confidence: 99%

Duty Cycling in Target Monitoring Wireless Sensor Network Systems

Guo

Hong

2013

International Journal on Smart Sensing and Intelligent Systems

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Abstract-Duty cycling is an important method for energy constrained sensor network systems to prolong lifetime. Current research on duty cycling is mainly based on such assumption that all the sensory coverage should be maintained while some nodes are sleeping. However, for the applications of target monitoring, it is not necessary anymore to keep the whole sensory coverage of the sensor network. It only needs to make sure that such kinds of nodes are active which can perceive the activities of the monitored targets. This paper proposes a novel duty cycling design for target monitoring sensor networks, which includes two algorithms -sleep scheduling algorithm and gradient query algorithm based on sleep periods. In the proposed design, most of sensor nodes are sleeping, while still keep the functions of target monitoring and information query in the sensor networks. The performance of our INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS VOL. 6, NO. 3, JUNE 2013 1054 design has been evaluated through both theoretical analysis and simulations, which prove the functionality of the proposed design on the reduction of energy consumption.

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Section: Related Workmentioning

confidence: 99%

Duty Cycling in Target Monitoring Wireless Sensor Network Systems

Guo

Hong

2013

International Journal on Smart Sensing and Intelligent Systems

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“…The capabilities of the hardware and software present in WSN systems vary greatly depending on the application. WSN systems are used in a wide range of applications such as surveillance [1], environmental monitoring [2], [3], target tracking [4], [5], [6], wildlife tracking [7], personal health monitoring [8], [9], machinery monitoring [10], [11], and many others.…”

Section: Introductionmentioning

confidence: 99%

A unified wireless sensor network framework

Kiepert

Loo

2012

2012 IEEE International Systems Conference SysCon 2012

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Abstract-Wireless sensor networks (WSNs) have been a significant area of research over the past decade. WSN systems are used in a wide range of applications such as surveillance, environmental monitoring, target tracking, wildlife tracking, personal health monitoring, machinery monitoring, and many others. With such wide ranging applications, there is active research in nearly every facet of the field including network topologies, communication protocols, node localization, time synchronization, and sensor data processing. This movement has largely been the result of the advances in microelectronics and low-power radio systems. These advancements have enabled the design and implementation of small, powerful, low-power, wireless sensor network systems. Like any emerging technology, a standard needs to be established to allow the advances in the field to be directly leveraged rather than requiring reinvention. This paper outlines the traditional approaches to WSN system design, and in contrast, proposes the necessary components of a unified WSN framework that would support the majority of present applications as well as providing the foundation for further advancements in the field.

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Enabling Decision Support for the Delivery of Real-Time Services

McKee

Webster

2015

2015 IEEE 16th International Symposium on High Assurance Systems Engineering

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Abstract-The domain of high assurance distributed systems has focused greatly on the areas of fault tolerance and dependability. As a result the paradigm of service orientated architectures (SOA) has been commonly applied to realize the significant benefits of loose coupling and dynamic binding. However, there has been limited research addressing the issues of managing real-time constraints in SOAs that are by their very nature dynamic. Although the paradigm itself is derived from fundamental principles of dependability, these same principles appear to not be applied when considering the timed dimension of quality of service. As a result the current state-ofthe-art in SOA research only addresses soft real-time and does not seek to provide concrete guarantees about a systems performance. When a distributed system is deployed we do not understand enough the emerging behavior that will occur. This paper therefore proposes an approach that probabilistically monitors system state within a given workflow's execution window. Utilizing a real distributed system we experiment with services from the computer vision domain, with clear real-time constraints, evaluating the performance of each system component. Our approach successfully models the likelihood of the service meeting providing various levels of QoS, providing the basis for a more dynamic and intelligent approach to realtime service orientation.

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Target Trajectory Querying in Wireless Sensor Networks

Cited by 6 publications

References 11 publications

Duty Cycling in Target Monitoring Wireless Sensor Network Systems

Duty Cycling in Target Monitoring Wireless Sensor Network Systems

A unified wireless sensor network framework

Enabling Decision Support for the Delivery of Real-Time Services

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