Performance improvement in mobile ad-hoc networks.

The objective of this research is to enhance the network performance under realistic mobile ad-hoc networks environments without modification of the standard. Overview of this research is summarized as follows: First, a packet-fragmentation technique to improve network throughput under the worst channel conditions is proposed. While the conventional packet-fragmentation technique research focuses only on random-bit errors, the proposed technique employs both random bit errors and hidden-node collisions. The analytical models based on Markov-chain model shows that the optimal fragmentation technique can effectively reduce the number of retransmissions caused by both collisions from hidden nodes and corrupted packets by random bit errors, and eventually improving throughput in noisy VANETs channels. As a second contribution, a dynamic service-channel allocation (DSCA) scheme is proposed to maximize the network throughput by dynamically assigning different service channels to the users. The theoretical analysis in this thesis will consider wireless access in the vehicular environment (WAVE) protocol, which is the main characteristic of the vehicular ad-hoc networks standard (the IEEE 802.11p). To summarize, the main contribution of this research is that two schemes will improve the network throughput significantly without modification of the standard. Therefore, there is no implementation issue to deploy the proposed schemes in real devices.

Department dc:contributor.department

Electrical and Computer Engineering

Grantor dc:publisher

Georgia Institute of Technology

Year dc:date.issued

2012

Author dc:creator

• Park, Sung Jin

Advisors dc:contributor.advisor

• Copeland, John A.
• Chang, Yusun

Committee members dc:contributor.committeemember

• Ammar, Mostafa
• Beyah, Raheem
• Owen, Henry
• Taylor, David

• Packet fragmentation
• VANETs
• Performance
• MANETs

Handle dc:identifier.uri

http://hdl.handle.net/1853/45903

OAI identifier oai:identifier

oai:repository.gatech.edu:1853/45903