Title page for ETD etd-04102006-170423


Type of Document Dissertation
Author Brownfield, Michael I.
Author's Email Address brownfld@vt.edu
URN etd-04102006-170423
Title Energy-efficient Wireless Sensor Network MAC Protocol
Degree PhD
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Davis, Nathaniel J. IV Committee Chair
Midkiff, Scott F. Committee Co-Chair
Hou, Yiwei Thomas Committee Member
Koelling, Charles Patrick Committee Member
Pratt, Timothy J. Committee Member
Keywords
  • Wireless Sensor Network
  • Medium Access Control (MAC)
  • Energy Efficiency
Date of Defense 2006-03-31
Availability unrestricted
Abstract
With the progression of computer networks extending boundaries and joining distant locations, wireless sensor networks (WSNs) emerge as the new frontier in developing opportunities to collect and process data from remote locations. WSNs rely on hardware simplicity to make sensor field deployments both affordable and long-lasting without maintenance support. WSN designers strive to extend network lifetimes while meeting application-specific throughput and latency requirements. Effective power management places sensor nodes into one of the available energy-saving modes based upon the sleep period duration and the current state of the radio.

This research investigates energy-efficient medium access control (MAC) protocols designed to extend both the lifetime and range of wireless sensor networks. These networks are deployed in remote locations with limited processor capabilities, memory capacities, and battery supplies. The purpose of this research is to develop a new medium access control protocol which performs both cluster management and inter-network gateway functions in an energy-efficient manner. This new protocol, Gateway MAC (GMAC), improves on existing sensor MAC protocols by not only creating additional opportunities to place the sensor platforms into lower power-saving modes, but also by establishing a traffic rhythm which extends the sleep duration to minimize power mode transition costs. Additionally, this research develops a radio power management (RPM) algorithm to provide a new mechanism for all WSN MAC protocols to optimize sleep transition decisions based upon the power and response characteristics of the sensor platform’s transceiver. Finally, to extend access to sensor data in remote locations, this research also validates an innovative wireless distribution system which integrates wireless sensor networks, mobile ad hoc networks (MANET), and the Internet.

This research makes two significant contributions to the state-of-the-art wireless sensor networks. First, GMAC’s centralized network management function offers significant energy savings and network lifetime extensions over existing wireless sensor network protocols. The second contribution is the introduction of a wireless sensor radio power management algorithm designed to exploit additional power-saving opportunities introduced with the newest generation of faster sensor platform transceivers.

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