이동 Ad Hoc 네트워크에서의 효율적인 MAC 및 그룹 통신 기법에 관한 연구
A Research on Efficient MAC and Group Communication Protocols for Mobile Ad Hoc Networks
- 주제(키워드) Mobile Ad Hoc Networks , Wireless MAC Protocol , Group Communication Protocols
- 발행기관 아주대학교
- 지도교수 고영배
- 발행년도 2006
- 학위수여년월 2006. 2
- 학위명 석사
- 학과 및 전공 정보통신전문대학원 정보통신공학과
- 본문언어 영어
초록/요약
With the rapid advances in wireless technologies and portable devices, mobile ad hoc networks (MANETs) have become a popular area of research and development in the last decade. Moreover, MANET is a core technology for the future ubiquitous networks. However, in order to realize this MANET technology, many problems still need to be solved or at least improved in terms of network efficiency and performance. This thesis proposes two novel schemes to improve such network efficiency in mobile ad hoc networks. First, the unidirectional-link aware MAC protocol (UAMAC) is proposed to reduce the frequency of packet collisions that may occur in the heterogeneous network environment and therefore cause to decrease increases network throughput. Secondly, a new group communication protocol, named geometry-driven geocasting protocol (GGP), is presented to reduce the redundancy of transmitting the same messages towards multiple targets by building an efficient shared path. All of the performance evaluations for each scheme show that proposed schemes can reduce the network overhead and improve the performance over conventional schemes.
more목차
CHAPTER 1 INTRODUCTION 1
CHAPTER 2 UAMAC: UNIDIRECTIONAL-LINK AWARE MAC PROTOCOL FOR HETEROGENEOUS AD HOC NETWORKS 3
2.1 Introduction 3
2.2 Related Work 4
2.3 UAMAC (Unidirectional-Link Aware Mac) 6
2.4 Unidirectionality Detection 9
2.5 Performance Evaluation 11
2.6 Conclusions 12
CHAPTER 3 GEOMETRY-DRIVEN SCHEME FOR GEOCAST ROUTING IN MOBILE AD HOC NETWORKS 15
3.1 Introduction 15
3.2 Preliminaries 17
3.2.1 What is the "Fermat Point"? 17
3.2.2 Theoretical Analysis 19
3.2.3 Related Works 20
3.3 GGP (GEOMETRY-DRIVEN GEOCASTING PROTOCOL) 22
3.4 Performance Evaluation 27
3.4.1 Simulation Environment 27
3.4.2 Performance Metrics 28
3.4.3 Simulation Results 29
3.5 Conclusion 34
CHAPTER 4 CONCLUSIONS 35
REFERENCES 36
