Ext-Desync based Slot Securing and Reordering Schemes for Mobile Ad-hoc Network
- 주제(키워드) MANET , Bio-inspired Algorithm , D-TDMA , SDN , UAV
- 주제(DDC) 004.6
- 발행기관 아주대학교
- 지도교수 노병희
- 발행년도 2023
- 학위수여년월 2023. 8
- 학위명 박사
- 학과 및 전공 일반대학원 AI융합네트워크학과
- 실제URI http://www.dcollection.net/handler/ajou/000000033113
- 본문언어 영어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
In order to support communication in tactical and disaster environments where it is difficult to use the backbone network, MANET must be configured by terminals. However, in order to construct a MANET, it is difficult to design and to implement a distributed algorithm because various factors such as the wireless environment and the movement of terminals need to be considered. In the case of bio-inspired networking algorithms, the characteristics of the collective ecosystem are reflected in the operation. These algorithms basically have characteristics such as self-organizing, self-healing, and self-maintaining. Therefore, it is evaluated as suitable for application to a distributed networking environment. However, the bio-inspired networking algorithms researched and proposed so far require optimization to be applied to the Tactical Ad-hoc environment. Meanwhile, as the computing power and energy efficiency of embedded devices such as sensors are improved, new networking architectures utilizing UAVs are being actively proposed in existing wireless networks that were mainly composed of ground nodes. UAVs offer increased coverage and ease of line-of-sight over ground nodes. Therefore, some recent studies have attempted to improve the performance of the network by grafting UAV utilization technology to a tactical ad-hoc environment dynamically and autonomously configured by mobile devices for mutually transferring data and by additionally applying centralized networking technologies. We propose methods to improve the performance of Ext-Desync TDMA, one of the bio-inspired MAC protocols, in an environment where topology and traffic paths change by mobile nodes. First, we propose Adaptive Slot Securing based on Criterion to Change Firing Phases in Ext-Desync TDMA, in which each node resolves collisions by considering packet collisions in its neighbors and determines nodes that secure time slots in a distributed manner. Second, for an tactical ad-hoc environment where UAV equipped with SDN controller is supported, Adaptive Slot Reordering on Traffic Paths on Ext-Desync TDMA is proposed. In the proposed mechanism, the SDN controller calculates and distributes time slot scheduling information according to the flow path, and each ground node allocates slots based on the information received from the controller.
more목차
1. Introduction 1
1.1 Motivation 1
1.2 Challenges 2
1.3 Contribution of the Dissertation 4
1.4 Chapter Organization 5
2. Background 6
2.1 Wireless Network 6
2.1.1 Traditional Wireless Network 6
2.1.2 UAV-aided Network 7
2.2 Bio-inspired Algorithm 8
2.2.1 Overview of the Bio-inspired Algorithm 8
2.2.2 Desync and Ext-Desync TDMA 9
2.3 Software Defined Network 12
2.3.1 Overview of the Software Defined Network 12
2.3.2 Software Defined Wireless Network 13
3. Adaptive Slot Securing based on Criterion to Change Firing Phases in Ext-Desync TDMA 15
3.1 Overview 15
3.2 Problem Definition 18
3.3 Criterion to Change Firing Phase for Performance Improvement 21
3.4 Ext-Desync TDMA with Distributed Calculation of Firing Phase Changing Criterion 27
3.5 Performance Evaluation 32
3.6 Summary 38
4. Adaptive Slot Reordering on Traffic Paths on Ext-Desync TDMA 40
4.1 Overview 40
4.2 Related Work 43
4.3 Adaptive Slot Reordering on SDN Flow Table on Ext-Desync TDMA 45
4.3.1 System Model 46
4.3.2 SDN Controller-mounted UAV based Traffic Path Calculation and Distribution 49
4.3.3 Adaptive Slot Reordering Strategy of Ext-Desync TDMA 53
4.4 Performance Evaluation 60
4.5 Summary 64
5. Conclusion 66
References 68
