Authors

Xi Deng

Type

Text

Type

Dissertation

Advisor

Hong, Sangjin | Yang, Yuanyuan | Stanacevic, Milutin | Gao, Jie.

Date

2013-12-01

Keywords

Computer engineering

Department

Department of Electrical Engineering.

Language

en_US

Source

This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.

Identifier

http://hdl.handle.net/11401/77459

Publisher

The Graduate School, Stony Brook University: Stony Brook, NY.

Format

application/pdf

Abstract

Wireless networks have now been widely used and enjoyed in many aspects of human life and the society. Delay-sensitive wireless network, in a strict sense, is not a particular type of wireless networks. It represents a large number of wireless networks whose performance is greatly affected by the packet end-to-end delay, defined as the duration between a packet's generation at the source node and its delivery to the destination. Such network has been growing rapidly in recently years due to the tremendous demands from network applications. Emerging multimedia applications including Video-on-demand (VOD) and Voice-over-IP (VoIP) have become one of the major traffic types that require a large amount of data packets to be delivered in a timely and continuously fashion; various monitoring applications, such as emergency detection and battlefield surveillance, also call for delay-sensitive networks, where a faster delivery of monitoring data may save tremendous economical or military loss by preventing some critical hazards. Compared to wired network, achieving low packet delay is a more challenging work in wireless networks because the resources in wireless networks are much more constrained. This dissertation focuses on the study of resource constraints at network nodes. Compared to transmissions, resource constrained network nodes have not been paid full attention to in previous works as their impact may not be significant at earlier wireless networks. With increasing demand of delay-sensitive networks, these limitations now become performance bottlenecks and worthy study. The contributions of this dissertation are two-fold. First, we designed and implemented a general, flexible hardware-aware network platform which takes hardware processing behavior into consideration to accurately evaluate network performance. Similar to the lack of study of network node resources, there also lacks of an experimental and evaluation tool that is suitable for this particular study. With our platform, the nodal processing can now be accurately modeled and evaluated in the form of network simulations. This platform facilitates the remaining part of this dissertation and any other nodal processing related researches for the whole research community as well. Second, we considered practical issues in delay-sensitive wireless sensor networks as most sensor nodes are resource-constrained devices. We studied the impact on packet delay caused by two types of resource constraints: limited hardware processing capability and half-duplex antenna. Algorithms have been designed to minimize the negative impact of these resource constraints to better support delay-sensitive applications. | 116 pages

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