隨機競爭的資源分配方法用於考慮服務品質的移動式無線近身網路

Abstract

無線近身網路目前主要被應用在遠距醫療照護用以提供病人在醫療院所之外的全天候醫療生理監控服務。因其生理訊號對訊號正確性的敏感度與生命相關的重要性，在資料傳輸的過程中，對於無線近身網路的服務品質(QoS)需要更多重視與注意，以提供緊急狀況的即時傳輸，保證資料持續穩定地送達醫院端。 在本論文中，將針對可移動無線近身網路，考慮其服務品質的需求，提出一個以隨機競爭的資源分配的方法 (RACOON) 來提供服務品質的保證。除了考慮單一網路服務品質的控制，所提出之演算法也針對不同無線近身網路的使用者進行等級分類的考慮。當頻寬資源不足夠時，高風險等級的無線近身網路使用者會比低風險等級的使用者有更多的傳輸機會，以保證緊急的訊號可以即時的傳送給醫生做診斷。在模擬平台方面是使用MATLAB 來測試隨機競爭的資源分配方法的效能。最後的模擬結果顯示所提出的隨機競爭式資源分配方法可以有效地分配頻寬資源給每一個不同的無線近身網路使用者，並符合其風險等級和頻寬的需求。

The mobile wireless body area network which is mainly applied to remote health care system provides the ubiquitous medical services of patients’ health monitoring beyond the confines of hospitals and clinics. For the monitoring of vital signals which is sensitive and important, the quality of service (QoS) should be considered to provide the critical level of operations. In this thesis, we propose a resource allocation scheme, random contention based resource allocation (RACOON) algorithm, for QoS concerned wireless body area network (WBAN). Besides of the quality of service control in a single WBAN, the proposed algorithm also considers the issues of the priority difference between WBANs. The algorithm provides the high risk WBAN users have more transmission opportunities than low risk WBAN users to guarantee the real time transmission of critical packets when the bandwidth resource is not enough. A MATLAB simulation platform is built to evaluate the performance of resource allocation of RACOON. Simulation results show that RACOON algorithm can effectively allocate data slots to each WBAN to meet both of its risk level and bandwidth requirements.