Energy Efficient MAC Protocol for Wireless Networks
- 주제(키워드) Mobile Ad-hoc Network , Wireless Sensor Network , Wireless Network , Energy Efficient MAC , Single channel MAC , Dual channel MAC , Multi-hop Hidden Terminal Problem , Multi-hop Exposed Terminal Problem
- 주제(KDC) 568
- 주제(DDC) 621
- 발행기관 아주대학교 정보통신전문대학원
- 지도교수 김재훈
- 발행년도 2007
- 학위수여년월 2007. 2
- 학위명 석사
- 학과 및 전공 정보통신전문대학원 정보통신공학과
- 본문언어 영어
초록/요약
In this thesis we present two medium access control protocols: Scheduled Power Saving MAC (S-PSM) for Wireless Networks and Minimum Energy and Latency MAC Protocol (MELM) for Wireless Sensor Networks. Scheduled PSM (S-PSM) uses single channel radio mechanism for control and data packets and MELM uses dual channel radio setup named control channel for control packets and data channel for data packets. The S-PSM and the MELM save energy resources and increase network throughput by minimizing packet collisions, overhearing and over transmission. Both S-PSM and MELM eliminates hidden and exposed terminal problem in multi-hop environment. Our simulation result shows that both S-PSM and MELM saves considerable amount of energy.
more목차
CHAPTER 1 INTRODUCTION = 1
CHAPTER 2 Scheduled Power Saving MAC Protocol for Wireless Networks = 4
2.1. Introduction = 4
2.2. Related Work = 7
2.3. Proposed Scheme = 9
2.4. Analyses for Energy Consumption = 13
2.4.1. Energy Consumption of IEEE 802.11 = 13
2.4.2. Energy Consumption of slotted = PSM 15
2.4.3. Energy Consumption of Scheduled = PSM 16
2.5. Performance = Evaluations 17
2.5.1. Simulation Environment = 17
2.5.2. Simulation Results = 18
2.6. Conclusion = 19
CHAPTER 3 Minimum Energy and Latency MAC protocol for Wireless Sensor Networks = 20
3.1. Introduction = 20
3.2. Related Work = 22
3.3. Proposed Scheme = 24
3.4. Pseudo = Code 29
3.5. Theoretical Analysis = 30
3.5.1. Energy Estimation = 30
3.5.1.1. STEM = 30
3.5.1.2. LEEM = 32
3.5.1.3. MELM = 33
3.5.1.4. Simulation Result = 34
3.5.2. End to end latency estimation = 36
3.5.2.1. STEM = 36
3.5.2.2. LEEM = 37
3.5.2.3. MELM = 39
3.5.2.4. Simulation Result = 39
3.6. Conclusion = 41
CHAPTER 4 Conclusion = 42
