Sanjeev Setia

Bio: Sanjeev Setia is an academic researcher from George Mason University. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 33, co-authored 66 publications receiving 5600 citations. Previous affiliations of Sanjeev Setia include University of Maryland, College Park.

Analysis of processor allocation in multiprogrammed, distributed-memory parallel processing systems

Abstract: A main objective of scheduling independent jobs composed of multiple sequential tasks in shared-memory and distributed-memory multiprocessor computer systems is the assignment of these tasks to processors in a manner that ensures efficient operation of the system. Achieving this objective requires the analysis of a fundamental tradeoff between maximizing parallel execution, suggesting that the tasks of a job be spread across all system processors, and minimizing synchronization and communication overheads, suggesting that the job's tasks be executed on a single processor. The authors consider a class of scheduling policies that represent the essential aspects of this processor allocation tradeoff, and model the system as a distributed fork-join queueing system. They derive an approximation for the expected job response time, which includes the important effects of various parallel processing overheads (such as task synchronization and communication) induced by the processor allocation policy. >

Performance optimizations for group key management schemes

Abstract: Recently, many group key management approaches based on the use of logical key trees have been proposed to address the issue of scalable group rekeying that is needed to support secure communications for large and dynamic groups. In this paper, we present two optimizations for logical key tree organizations that utilize information about the characteristics of group members to further reduce the overhead of group rekeying. First, we propose a partitioned key tree organization that exploits the temporal patterns of group member joins and departures to reduce the overhead of rekeying. Using an analytic model, we show that our optimization can achieve up to 31.4% reduction in key server bandwidth overhead over the unoptimized scheme. Second, we propose an approach under which the key tree is organized based on the loss probabilities of group members. Our analysis shows this optimization can reduce the rekeying overhead by up to 12.1%.

Using multiple communication channels for efficient data dissemination in wireless sensor networks

Abstract: This paper presents McTorrent and McSynch, two multichannel sensor network protocols for data dissemination. Both protocols are designed to take advantage of the spatial multiplexing properties of the half-duplex radio transceivers available on the current generation of sensor nodes. McTorrent is used for reliable end-to-end dissemination of a large data object. Compared to existing protocols, we show that McTorrent significantly reduces the amount of time required to propagate a large data object throughout a sensor network. McSynch is used to achieve data object synchronization within a local cluster of nodes. By using a scheduled channel access approach and an appropriate number of transmission channels, McSynch can significantly reduce the amount of time required to update a local cluster. We also describe our experiences implementing a multichannel system, and report on lessons learned for channel and frequency settings

Optimal write batch size in log-structured file systems

Abstract: Log-structured file systems create a performance benefit by maximizing the rate at which disk write operations can occur. However, this benefit comes at the expense of individual read operations, which can experience long queuing delays due to batched write service. This paper presents an ana- lytic derivation of the write batch size that minimizes read response time, while retaining the benefit of write batching. Simulations that relax the assumptions of the analytic model demonstrate that the analytic result can be used to advantage in a practical setting.

Fundamentals of Queueing Theory

Abstract: Praise for the Third Edition: "This is one of the best books available. Its excellent organizational structure allows quick reference to specific models and its clear presentation . . . solidifies the understanding of the concepts being presented."IIE Transactions on Operations EngineeringThoroughly revised and expanded to reflect the latest developments in the field, Fundamentals of Queueing Theory, Fourth Edition continues to present the basic statistical principles that are necessary to analyze the probabilistic nature of queues. Rather than presenting a narrow focus on the subject, this update illustrates the wide-reaching, fundamental concepts in queueing theory and its applications to diverse areas such as computer science, engineering, business, and operations research.This update takes a numerical approach to understanding and making probable estimations relating to queues, with a comprehensive outline of simple and more advanced queueing models. Newly featured topics of the Fourth Edition include:Retrial queuesApproximations for queueing networksNumerical inversion of transformsDetermining the appropriate number of servers to balance quality and cost of serviceEach chapter provides a self-contained presentation of key concepts and formulae, allowing readers to work with each section independently, while a summary table at the end of the book outlines the types of queues that have been discussed and their results. In addition, two new appendices have been added, discussing transforms and generating functions as well as the fundamentals of differential and difference equations. New examples are now included along with problems that incorporate QtsPlus software, which is freely available via the book's related Web site.With its accessible style and wealth of real-world examples, Fundamentals of Queueing Theory, Fourth Edition is an ideal book for courses on queueing theory at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners who analyze congestion in the fields of telecommunications, transportation, aviation, and management science.

LEAP: efficient security mechanisms for large-scale distributed sensor networks

Abstract: In this paper, we describe LEAP (Localized Encryption and Authentication Protocol), a key management protocol for sensor networks that is designed to support in-network processing, while at the same time restricting the security impact of a node compromise to the immediate network neighborhood of the compromised node. The design of the protocol is motivated by the observation that different types of messages exchanged between sensor nodes have different security requirements, and that a single keying mechanism is not suitable for meeting these different security requirements. LEAP supports the establishment of four types of keys for each sensor node -- an individual key shared with the base station, a pairwise key shared with another sensor node, a cluster key shared with multiple neighboring nodes, and a group key that is shared by all the nodes in the network. The protocol used for establishing and updating these keys is communication- and energy-efficient, and minimizes the involvement of the base station. LEAP also includes an efficient protocol for inter-node traffic authentication based on the use of one-way key chains. A salient feature of the authentication protocol is that it supports source authentication without precluding in-network processing and passive participation. We analyze the performance and the security of our scheme under various attack models and show our schemes are very efficient in defending against many attacks.

Security of the Internet of Things: perspectives and challenges

Abstract: Internet of Things (IoT) is playing a more and more important role after its showing up, it covers from traditional equipment to general household objects such as WSNs and RFID. With the great potential of IoT, there come all kinds of challenges. This paper focuses on the security problems among all other challenges. As IoT is built on the basis of the Internet, security problems of the Internet will also show up in IoT. And as IoT contains three layers: perception layer, transportation layer and application layer, this paper will analyze the security problems of each layer separately and try to find new problems and solutions. This paper also analyzes the cross-layer heterogeneous integration issues and security issues in detail and discusses the security issues of IoT as a whole and tries to find solutions to them. In the end, this paper compares security issues between IoT and traditional network, and discusses opening security issues of IoT.