移動裝置之電量效率應用模糊邏輯控制於多頻混合網路

Energy Efficiency of Mobile Devices with Fuzzy Logic Control in Multi-Radio Opportunistic Networks

劉于翔(Yi-Shang Liu)

指導教授 ： 陳永隆

國立臺中科技大學/資訊與流通學院/資訊工程系碩士班/碩士(2016年)

摘要

由於智慧型手機以及無線網路技術的發展以及進步，移動裝置已經成為我們生活當中不可或缺的一部分，凡舉工作、娛樂、瀏覽資訊，在現今，多數人都透過移動裝置來達成其需求。移動裝置如此廣泛的使用，不斷的考驗著無線網路以及移動裝置的電池續航力，由於移動裝置的電池續航力是有限的，因此減少使用者在連接無線網路時的電量消耗，增進移動裝置的續航力並且保持穩定網路服務，乃為無線網路中重要的議題。在本文當中，我們根據一種名為雙頻機會網路節能機制(Dual-Radio Opportunistic Networking for Energy Efficiency, DRONEE)的混合網路，以無線感測網路(Wireless Sensor Network, WSN)的叢集概念將手機用戶使用者畫分成叢集，僅由叢集內與基地台訊號最佳的手機用戶擔任叢集頭來負責傳輸資料，叢集內的手機用戶成員則透過Wi-Fi介面與叢集頭共享網路資源，並且同時關閉叢集內非叢集頭節點與基地台的通訊通道(即3G/4G等行動網路)，讓擔任叢集頭的手機用戶可以減少其他手機用戶的訊號干擾，提升與基地台的通訊品質。
本研究以DRONEE機制延伸以及改善其方法，我們所提出的研究方法有兩項，分別為Dual-Radio Opportunistic Networking for Energy Efficiency - Fuzzy with Multi-Hop (DRONEE-FM)與Dual-Radio Opportunistic Networking for Energy Efficiency - Exponential Weight with Priority-Based Rate Control (DRONEE-WPRC)。在DRONEE-FM方法中，我們基於DRONEE方法當中的DRONEE-W，使用模糊邏輯控制的方式，以節點(即手機用戶)的「殘餘電量」以及「通訊品質」做為FLC輸入端考量，透過法則庫篩選最後解模糊化計算出節點的競爭叢集頭機率以挑選該叢集內最適合擔任叢集頭的節點。DRONEE-FM改善了DRONEE-W僅考量通訊品質最佳作為叢集頭而產生的熱點(Hot-spot)問題 。而在我們提出的DRONEE-WPRC方法當中，我們引入了權重(Weight)以及基於優先全速率控制演算法(PBRC，Priority-Based Rate Control)兩個方法來改善DRONEE-W使用加權輪調僅考量叢集人數大小，未考量資源使用率而造成的網路資源分配問題，透過WPRC演算法來達到以考量節點封包的種類來分配資源優先權，並且透過優先權多寡來調整網路的速率，並且在叢集架構中實現了質量服務的功能(QoS，Quality of Service)使得網路資源的分配可以更為平均。

關鍵字

LTE ； 叢集式拓樸架構 ； 熱點問題 ； 模糊邏輯控制 ； 多跳點 ； 優先權控制

並列摘要

Since the development of smart phones and wireless network technology, mobile devices have become an integral part of our daily lives, work, entertainment, browse information in today. Most people use mobile devices to accomplish their needs. Mobile devices widely are used, but the battery life of mobile devices is limited. Reducing power consumption, and remaining stable internet services are important issues. In this study, we use Dual-Radio Opportunistic Networking for Energy Efficiency (DRONEE) which is a mixed network method using the cluster concept of a wireless sensor network (WSN). Mobile phone users are divide into clusters, the best signal of the mobile phone user will be selected as a cluster head in the cluster, and it forwards the base station. Other cluster members transmit the transmission of data to the cluster head through Wi-Fi interface and while we close the not belong cluster head of nodes with the base station communication channels (ie, 3G / 4G mobile networks, etc.). The signal interference of the cluster head mobile phone users can be reduced from other mobile phone users and increase the channel quality.
In this study, we improve DRONEE mechanism to propose two methods including Dual-Radio Opportunistic Networking for Energy Efficiency - Fuzzy with Multi-Hop (DRONEE-FM) and Dual-Radio Opportunistic Networking for Energy Efficiency - Exponential Weight with Priority-Based Rate Control (DRONEE-WPRC). In DRONEE-FM method, we combine DRONEE-W with fuzzy logic control through residual battery energy and channel quality of the mobile phone user to be as input of FLC. Then according to fuzzy rules and defuzzification, we calculate the competition probability of cluster head of node to select cluster heads within the cluster. DRONEE-FM improved hot-spot problem of DRONEE-W which only choose the best channel quality of node to be as cluster head. Our proposed DRONEE-WPRC method according to the Weight and Priority-Based Rate Control algorithms (PBRC) to improves DRONEE-W with a weighted. The DRONEE-WPRC algorithm can adjust the rate of network with the type of node packet priority according to the packet priority of the user. Our proposed DRONEE-WPRC algorithm can balance network resource allocation and meet the function of the quality of service (QoS) in the cluster architecture.

並列關鍵字

LTE ； cluster topology ； hot-spot issues ； FLC ； multi-hop ； priority control

參考文獻

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