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作者 Kulkarni, Purushottam
書名 SensEye: A multi-tier heterogeneous camera sensor network
說明 123 p
附註 Source: Dissertation Abstracts International, Volume: 68-02, Section: B, page: 1075
Advisers: Prashant Shenoy; Deepak Ganesan
Thesis (Ph.D.)--University of Massachusetts Amherst, 2007
Rapid technological developments in sensing devices, embedded platforms and wireless communication technologies, have enabled and led to a large research focus in sensor networks. Traditional sensor networks have been designed as networks of homogeneous sensor nodes. Single-tier networks consisting of homogeneous nodes achieve only a subset of application requirements and often sacrifice others. In this thesis, I propose the notion of multi-tier heterogeneous sensor networks, sensors organized hierarchically into multiple tiers. With intelligent use of resources across tiers, multi-tier heterogeneous sensor networks have the potential to simultaneously achieve the conflicting goals of network lifetime, sensing reliability and functionality
I consider a class of sensor networks---camera sensor networks---wireless networks with image sensors. I address the issues of automatic configuration and initialization and design of camera sensor networks
Like any sensor network, initialization of cameras is an important pre-requisite for camera sensor networks applications. Since, camera sensor networks have varying degrees of infrastructure support and resource constraints a single initialization procedure is not appropriate. I have proposed the notions of accurate and approximate initialization to initialize cameras with varying capabilities and resource constraints. I have developed and empirically evaluated Snapshot, an accurate calibration protocol tailored for sensor network deployments. I have also developed approximate initialization techniques that estimate the degree of overlap and region of overlap estimates at each camera. Further, I demonstrate usage of these estimates to instantiate camera sensor network applications. As compared to manual calibration, which can take a long time (order of hours) to calibrate several cameras, is inefficient and error prone, the automated calibration protocol is accurate and greatly reduces the time for accurate calibration---tens of seconds to calibrate a single camera and can easily scale to calibrate several cameras in order of minutes. The approximate techniques demonstrate feasibility of initializing low-power resource constrained cameras with no or limited infrastructure support
With regards to design of camera sensor networks, I present the design and implementation of SensEye, a multi-tier heterogeneous camera sensor network and address the issue of energy-reliability tradeoff. Multi-tier networks provide several levels of reliability and energy usage based on the type of sensor used for application tasks. Using SensEye I demonstrate how multi-tier networks can achieve simultaneous system goals of energy efficiency and reliability
School code: 0118
Host Item Dissertation Abstracts International 68-02B
主題 Computer Science
Alt Author University of Massachusetts Amherst
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