John-Austen Francisco

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We investigate the impact of landmark placement on localization performance using a combination of analytic and experimental analysis. For our analysis, we have derived an upper bound for the localization error of the linear least squares algorithm. This bound reflects the placement of landmarks as well as measurement errors at the landmarks. We next(More)
Using existing wireless communication networks as a localization infrastructure promises enormous cost and deployment savings over specific localization infrastructures. In this work we investigate a Bayesian network approach that uses a combination of radio signal strength (RSS) to distance estimation along with angle-of-arrival (AoA) information. We(More)
Wireless networks are vulnerable to identity spoofing attacks, where an attacker can forge the MAC address of his wireless device to assume the identity of another victim device on the network. Identity spoofing allows an attacker to avail network services that are normally restricted to legitimate users. Prior techniques to detect such attacks rely on(More)
In the emerging paradigm of pervasive computing, applications change their behaviors in response to their environmental context, which is provided by the smart objects in the Internet of Things (IoT). Due to the inherent heterogeneity of physical world objects, realizing the IoT requires service layers to fill the gap between the low level interfaces of(More)
Yingying Chen†, Eiman Elnahrawy‡, John-Austen Francisco†, Konstantinos Kleisouris†, Xiaoyan Li∗, Hongyi Xue†, Richard P. Martin†,‡ †{yingche,deymious,kkonst,xuehy58,rmartin}@cs.rutgers.edu ‡eiman@kordinate.com, ∗xili@cs.lafayette.edu †Dept. of Computer Science ‡Kordinate LLC ∗Dept. of Computer Science Rutgers University 200 Centennial Ave., Ste 200(More)
Wireless localization using the received signal strength (RSS) can have tremendous savings over using specialized positioning infrastructures. In this work, we explore improving RSS localization performance in multipath environments by varying the transmitter's signal power and frequency. Using a theoretical analysis, we first show how selection of(More)
In the emerging paradigm of pervasive computing, applications change their behaviors in response to their environmental context, which is provided by the smart objects in the Internet of Things (IoT). IoT envisions building a convergent platform to share dynamic data from smart objects and middleware services that process the data. In this paper, we show(More)
PURPOSE To present the effects of different radiotherapeutic treatments on the morphonuclear characteristics and growth of the MXT mouse mammary adenocarcinoma. METHODS AND MATERIALS We collected MXT tumor cells by means of fine-needle aspirations during various radiotherapeutic treatments and analyzed the morphological aspects of the cell nuclei by means(More)
Localization of nodes in wireless and sensor networks is important because the location of sensors is a critical input to many higher-level networking tasks, such as tracking, monitoring and geometric-based routing. Recently there has been intense research investigating using wireless networks as a localization infrastructure. If successful, using the same(More)
This paper describes a general purpose Real Time Location System (RTLS), GRAIL, version 1.0. GRAIL provides real-time, adaptable, indoor localization for wireless devices. Because GRAIL’s focus is to localize as diverse a set of devices as possible, it utilizes a centralized, anchor based approach. GRAIL defines an abstract data model for various system(More)