Identification of Low-Level Point Radiation Sources Using a Sensor Network (2009)
Mallikarjun Shankar, Srinivasan Srivathsan, S. Sitharama Iyengar
Abstract—Identification of a low-level point radiation source amidst background radiation is achieved by a network of radiation sensors using a two-step approach. Based on measurements from three...
Nathan E. Brener, Hua C. Looney, S. Sitharama Iyengar, Narayanadas Vakamudi
Abstract – We have developed a 3D route planner, called 3DPLAN, which employs the A* Algorithm to find optimum paths. The A * Algorithm has a major advantage compared to other search methods...
Data and Time Abstraction Techniques for Analyzing Multilevel Concurrent Systems (2009)
Toshimi Minoura, S. Sitharama Iyengar
Abstract-Data abstraction has long been recognized as an important tool for designing and analyzing a complex software system. In a con-current system an execution time of an operation is as...
Madhusudhanan Balasubramanian, Stanislav ˇ Zabić, Linda M. Zangwill, Hilary Thompson, Peter Wolenski, S. Sitharama Iyengar, ...
Glaucoma is the second leading cause of blindness worldwide. Often the optic nerve head (ONH) glaucomatous damage and ONH changes occur prior to visual field loss and are observ-able in vivo. Thus...
OF WAVELETS AND NEURAL NETS (2008)
S. Sitharama Iyengar, E. C. Cho, V. V. Phoha
Traditionally, neural networks and wavelet theory have been two separate disciplines, taught separately and practiced separately. In recent years the offspring of wavelet theory and neural...
Self-Adaptive Configuration of Visualization Pipeline over Wide-Area Networks (2008)
Qishi Wu, Jinzhu Gao, Mengxia Zhu, Senior Member, Jian Huang, ...
Abstract—Next-generation scientific applications require the capability to visualize large archival data sets or on-going computer simulations of physical and other phenomena over wide-area network...
S Sitharama Iyengar, Sri Kumar, S. S. Iyengar, Sri Kumar
The online version of this article can be found at:
Robust Distributed Computing and (2008)
Richard R. Brooks, S. Sitharama Iyengar
Sensors that supply data to computer systems are inherently unreliable. When sensors are distributed, reliability is further compromised. How can a system tell good sensor data from faulty? A hybrid...
Sankar Krishnamurthy, S. Sitharama Iyengar, Senior Member, Ronald J. Holyer, Matthew Lybanon
Abstract-We present a new edge detector for automatic ex-traction of oceanographic (mesoscale) features present in in-frared (IR) images obtained from the Advanced Very High Res-olution Radiometer...
B. John Oommen, S. Sitharama Iyengar, R. L. Kashyap
putations, path planning and navigation, and coordinated manipulation. Path planning and navigation is one of the most important aspects
Neeta Trivedi, G. Elangovan, S. Sitharama Iyengar, N. Balakrishnan
Abstract: Reducing sizes and increasing capabilities of wireless communication devices as well as electronic and electromechanical systems have made it possible to not only continuously monitor a...
Faster Web Page Allocation with (2008)
Vir V. Phoha, S. Sitharama Iyengar, Rajgopal Kannan
Neural Networks Exploiting the self-similarity of Web content, the self-organizing neural network improves performance of distributed Web server systems. Internet traffic has doubled almost every...
Authenticated Autonomous System Traceback (2008)
Vamsi Paruchuri, Arjan Durresi, Rajgopal Kannan, S. Sitharama Iyengar
The design of the IP protocol makes it difficult to reliably identify the originator of an IP packet making the defense against Distributed Denial of Service attacks one of the hardest problems on...
Suman Kumar, Seung-jong Park, S. Sitharama Iyengar
Abstract—As the bandwidth of networks is increasing exponentially, the computational cost to simulate such type of networks is also growing in a similar fashion. This paper presents a scalable...
Office of Basic Energy Sciences (2007)
Srikumar Kareti, Weimin Shi, S. Sitharama Iyengar
Research sponsored by the
Optimized Broadcast Protocol for Sensor Networks (2005)
Arjan Durresi, Senior Member, Vamsi K. Paruchuri, Student Member, S. Sitharama Iyengar, Rajgopal Kannan
Abstract—Sensor networks usually operate under very severe energy restrictions. Therefore, sensor communications should consume the minimum possible amount of energy. While broadcasting is a very...
Scalable Reliable Multicast Using Receiver Grouping (2004)
G. Khalaf, S. Sitharama Iyengar, Elias G. Khalaf
Scalable Reliable Multicast Protocols have been the subject of much research in recent years. We propose a new protocol that groups receivers for error recovery into fixed-size groups, thus reducing...
Adaptive visualization pipeline decomposition and mapping onto computer networks (2004)
Mengxia Zhu, Qishi Wu, S. Sitharama Iyengar
This paper discusses algorithmic and implementation aspects of a remote visualization system, which adaptively decomposes and maps the visualization pipeline onto a wide-area network. Visualization...
On Computing Mobile Agent Routes for Data Fusion in Distributed Sensor Networks (2004)
Qishi Wu, Jacob Barhen, S. Sitharama Iyengar, Vijay K. Vaishnavi, Hairong Qi, ...
The problem of computing a route for a mobile agent that incrementally fuses the data as it visits the nodes in a distributed sensor network is considered. The order of nodes visited along the route...
On computing mobile agent routes for data fusion in distributed sensor networks (2004)
Qishi Wu, Jacob Barhen, S. Sitharama Iyengar, Vijay K. Vaishnavi, Hairong Qi, ...
Abstract—The problem of computing a route for a mobile agent that incrementally fuses the data as it visits the nodes in a distributed sensor network is considered. The order of nodes visited along...
Qishi Wu, S. Sitharama Iyengar, Arul Manickam
mon to employ Internet wireless network technologies, typically IEEE 802.11 wireless cards and default TCP/IP stack. Typically the wireless cards are configured in the default infrastructure mode...
Efficient and Fault-Tolerant Feature Extraction in Wireless Sensor Networks (2003)
Bhaskar Krishnamachari, S. Sitharama Iyengar
We consider a canonical task in wireless sensor networks -- the extraction of information about environmental features -- and propose a multi-step solution that is fault-tolerant, self-organizing and...
High performance sensor integration in distributed sensor networks using mobile agents (2002)
Hairong Qi, Xiaoling Wang, S Sitharama Iyengar, Krishnendu Chakrabarty, Hairong Qi, Xiaoling Wang, ...
The recent change of emphasis from high performance parallel computing to high performance parallel/distributed computing has called for new techniques in distributed problem solving. Mobile agent,...
Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks (2002)
Krishnendu Chakrabarty, Senior Member, S. Sitharama Iyengar, Hairong Qi, Eungchun Cho
We present novel grid coverage strategies for effective surveillance and target location in distributed sensor networks. We represent the sensor field as a grid (two or three-dimensional) of points...
High Performance Sensor Integration in Distributed (2002)
Sensor Networks Using, Hairong Qi, Xiaoling Wang, S. Sitharama Iyengar, Krishnendu Chakrabarty, Contact Hairong Qi
The recent change of emphasis from high performance parallel computing to high performance parallel/distributed computing has called for new techniques in distributed problem solving. Mobile agent,...
Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks (2002)
Krishnendu Chakrabarty, S. Sitharama Iyengar, Hairong Qi, Eungchun Cho, Contact Krishnendu Chakrabarty
We present novel grid coverage strategies for eective surveillance and target location in distributed sensor networks. We represent the sensor eld as a grid (two- or three-dimensional) of points...
Grid coverage for surveillance and target location in distributed sensor networks (2002)
Krishnendu Chakrabarty, Senior Member, S. Sitharama Iyengar, Eungchun Cho
Abstract-We present novel grid coverage strategies for effective surveillance and target location in distributed sensor networks. We represent the sensor field as a grid (two or three-dimensional) of...
Multi-Resolution Data Integration Using Mobile Agents in Distributed Sensor Networks (2001)
Hairong Qi, S. Sitharama Iyengar, Krishnendu Chakrabarty
Abstract—We describe the use of the mobile agent paradigm to design an improved infrastructure for data integration in distributed sensor network (DSN). We use the acronym MADSN to denote the...
Multi-Resolution Data Integration Using (2001)
Mobile Agents In, Hairong Qi, S. Sitharama Iyengar, Krishnendu Chakrabarty, Senior Member
We describe the use of the mobile agent paradigm to design an improved infrastructure for data integration in distributed sensor network (DSN). We use the acronym MADSN to denote the proposed...
Joon Shik Lim, S. Sitharama Iyengar, Si-Qing Zheng
This paper presents new heuristic search algorithms for searching combined rectilinear (L1) and link metric shortest paths in the presence of orthogonal obstacles. The Guided Minimum Detour (GMD)...
Yuyan Wu, S. Sitharama Iyengar, Senior Member, Ramesh Jain, Santanu Bose
Abstract-This paper investigates a fundamental problem of determining the position and orientation of a three-dimensional (3-D) object using single perspective image view. The technique is focused on...
Functional Characterization of Fault Tolerant Interation in Disributed Sensor Networks (1991)
Lakshman Prasad, S. Sitharama Iyengar, Senior Member, R. L. Kashyap, Rabinder N. Madan, Senior Member
Abstract- Fault-tolerance is an important issue in network design because sensor networks must function in a dynamic, un-certain world. A functional characterization of the fault-tolerant integration...
A general greedy channel routing algorithm (1991)
Tai-tsung Ho, S Sitharama Iyengar, Senior Member, Si-qing Zheng
Abstmt-This paper presents a new channel routing algorithm which assigns wires track by track in a greedy way. The simple underlying data structures and strategy used in this algorithm can be...
Multilevel data structures: models and performance (1988)
Abha Moitra, S. Sitharama Iyengar, Farokh B. Bastani, I. Ling Yen
Absfrucf-We advocate a stepwise method of deriving high perfor-mance implementation of a set of operations. This method is based on the ability to organize the data into a multilevel data structure...
Madhavan, CEV, Iyengar, S Sitharama, Madhavan, Veni CE
A variety of data structures such as inverted file, multi-lists, quad tree, k-d tree, range tree, polygon tree, quintary tree, multidimensional tries, segment tree, doubly chained tree, the grid...