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Massachusetts Institute of Technology

An energy-efficient communication system for ad hoc wireless and sensor networks

Abstract

dc:description.abstract

Existing ad hoc wireless and sensor network systems often trade off energy against performance. As such, it is hard to find a single deployable system that supports high data rates while maintaining energy-efficient operation. This research addresses the problem by designing a communication system that achieves high performance and reduces the energy needed for delivering data in multi-hop networks by a factor of 100 or more over IEEE 802.11. The system is composed of a duty cycling and pseudo-random Medium Access Control (MAC) that provides deterministic access to the shared medium. Furthermore, the MAC provides link level QOS to support high data rates required for real-time traffic as well as delay-bounded services such as voice and multi-media streaming.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2007

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Tetteh, William Nii Adjetey
Advisor dc:contributor.advisor
  • Jason Redi and Butler Lampson.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/41674
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/41674

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Tetteh, William Nii Adjetey. An energy-efficient communication system for ad hoc wireless and sensor networks. Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41674