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研究生: Riyanto Jayadi
Riyanto Jayadi
論文名稱: 軟體定義無線網路中多重跳接式與多重介面之路由方法
Multi-Hop Multi-Interface Routing Schemes in Software Defined Wireless Networks
指導教授: 賴源正
Yuan-Cheng Lai
口試委員: 林柏青
程榮祥
楊傳凱
羅乃維
賴源正
Po-Ching Lin
學位類別: 博士
Doctor
系所名稱: 管理學院 - 資訊管理系
Department of Information Management
論文出版年: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 64
中文關鍵詞: User CooperationSoftware-Defined NetworkMulti-HopMulti-InterfaceWireless Routing
外文關鍵詞: User Cooperation, Software-Defined Network, Multi-Hop, Multi-Interface, Wireless Routing
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  • The rapid growth of mobile traffic in a user equipment (UE) demands more energy and drain battery life faster. Minimizing energy consumption during data transmission in UEs is an urgent issue. One of the techniques to minimize energy consumption is user cooperation, which is a way for a UE to help other UE by relaying traffic. Previous work had proposed various techniques for user cooperation to improve energy efficiency. Some previous work had proposed several relay routing techniques of user cooperation in multi-hop networks including incorporates a pair of short-range and long-range wireless interfaces. However, currently many UEs have been equipped with multiple wireless interfaces, not only just two. Hence, in this dissertation, the user cooperation relay routing in multi-hop multi-interface network is further studied. This study has two research directions: data plane and control plane. In data plane, a centralized energy efficient relay routing algorithm for user cooperation to save overall energy consumption in multi-hop multi-interface networks is proposed. In control plane, a centralized routing scheme to provide low-overhead routing management is proposed.
    In the first research, the routing problem of minimizing overall energy consumption in a multi-hop user cooperation network where the UEs have multiple wireless interfaces is formulated. Then, the minimization problem is constructed as an undirected multigraph. Lowest energy consumption first (LECF) algorithm is proposed to solve the problem centrally. LECF first selects short-range wireless communication that has the lowest energy consumption between every UEs. Then, LECF employs the Dijkstra’s algorithm to solve the routing problem. The simulation results show that the proposed algorithm is able to solve the problem and reduces the overall energy consumptions. LECF consume energy, on average, 87% less than the non-cooperative approach in general evaluation scenario.
    In the second research, to provide the LECF centralized control functionality to gather the network conditions and broadcast their routing decisions to the UEs, a Software Defined Wireless Network (SDWN) architecture is presented to enabled this centralized wireless network behavior. Several previous works actually had been demonstrated the feasibility of SDWN architecture for a centralized wireless routing control however they did not take into account the communication control overhead. Thus, a routing control scheme, entitled Low-Overhead Wireless SDN Routing (LWSR), for multi-hop multi-interface user cooperation network is further proposed to manage this SDN wireless network. To keep the low overhead, LWSR uses a hybrid reactive-proactive approach in managing the routing paths. Several experiments have been conducted to evaluate the performance of LWSR. The simulation result shows that the LWSR produces less control overhead by 55% while having faster convergence by 40% than the previous work.


    The rapid growth of mobile traffic in a user equipment (UE) demands more energy and drain battery life faster. Minimizing energy consumption during data transmission in UEs is an urgent issue. One of the techniques to minimize energy consumption is user cooperation, which is a way for a UE to help other UE by relaying traffic. Previous work had proposed various techniques for user cooperation to improve energy efficiency. Some previous work had proposed several relay routing techniques of user cooperation in multi-hop networks including incorporates a pair of short-range and long-range wireless interfaces. However, currently many UEs have been equipped with multiple wireless interfaces, not only just two. Hence, in this dissertation, the user cooperation relay routing in multi-hop multi-interface network is further studied. This study has two research directions: data plane and control plane. In data plane, a centralized energy efficient relay routing algorithm for user cooperation to save overall energy consumption in multi-hop multi-interface networks is proposed. In control plane, a centralized routing scheme to provide low-overhead routing management is proposed.
    In the first research, the routing problem of minimizing overall energy consumption in a multi-hop user cooperation network where the UEs have multiple wireless interfaces is formulated. Then, the minimization problem is constructed as an undirected multigraph. Lowest energy consumption first (LECF) algorithm is proposed to solve the problem centrally. LECF first selects short-range wireless communication that has the lowest energy consumption between every UEs. Then, LECF employs the Dijkstra’s algorithm to solve the routing problem. The simulation results show that the proposed algorithm is able to solve the problem and reduces the overall energy consumptions. LECF consume energy, on average, 87% less than the non-cooperative approach in general evaluation scenario.
    In the second research, to provide the LECF centralized control functionality to gather the network conditions and broadcast their routing decisions to the UEs, a Software Defined Wireless Network (SDWN) architecture is presented to enabled this centralized wireless network behavior. Several previous works actually had been demonstrated the feasibility of SDWN architecture for a centralized wireless routing control however they did not take into account the communication control overhead. Thus, a routing control scheme, entitled Low-Overhead Wireless SDN Routing (LWSR), for multi-hop multi-interface user cooperation network is further proposed to manage this SDN wireless network. To keep the low overhead, LWSR uses a hybrid reactive-proactive approach in managing the routing paths. Several experiments have been conducted to evaluate the performance of LWSR. The simulation result shows that the LWSR produces less control overhead by 55% while having faster convergence by 40% than the previous work.

    Abstract II Acknowledgments IV Table of Contents VI List of Figures IX List of Tables X Chapter 1. Introduction 1 1.1. Background 1 1.2. Motivations and Contributions 3 1.3. Organization of this Dissertation 5 Chapter 2. Literature Reviews 6 2.1. User Cooperation 6 2.2. Energy Efficiency User Cooperation in Wireless Networks 9 2.3. Software Defined Networks(SDN)/OpenFlow 11 2.4. Software Defined Wireless Networks Routing 14 Chapter 3. Energy Efficient User Cooperative Multi-Hop Multiple-Interface Wireless Network 16 3.1. System Model 16 3.2. Problem Formulation 19 3. 2. 1. Energy consumption formulation in sleeping mode 19 3. 2. 2. Energy consumption formulation in non-user-cooperation scenario and formulation in each stage of user cooperation scenario 20 3. 2. 3. Minimizing energy consumption formulation in a scenario with user cooperation 22 3.3. Lowest Energy Consumption First (LECF) Algorithm 24 3.4. Example of LECF Operation 26 3.5. Performance Evaluations 27 3. 5. 1. Effect of Throughput from SUEs to BS 28 3. 5. 2. Effect of Number of SUEs 30 3. 5. 3. Effect of Number of RUEs 31 3. 5. 4. Effect of SRs 32 3.6. Summary 34 Chapter 4. Low-Overhead Multi-Hop Multi-Interface Software Defined Wireless Network Routing Scheme 35 4.1. Network Architecture 35 4.2. Procedures of Low-Overhead Wireless SDN Routing 36 4. 2. 1. UE Join-and-Disjoin Procedure 37 4. 2. 2. Packet-in Handling Procedure 39 4. 2. 3. Flow Installation Procedure 41 4. 2. 4. Routing Paths Updating Procedure 42 4. 2. 5. Link Maintenances Procedure 44 4.3. Performance Evaluations 46 4. 3. 1. Routing Scheme Overhead 47 4. 3. 2. Convergence Time 49 4. 3. 3. New UEs Detection 51 4.4. Summary 53 Chapter 5. Conclusion and Future Work 54 5.1. Conclusion 54 5.2. Future Work 55 Abbreviations 57 References 58 Publication List 63 Vitae 64

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