無線視覺感測網路(Wireless Visual Sensor Networks，WVSNs)是由分散的視覺感測節點所構成。相較於傳統的無線感測網路(Wireless Sensor Networks，WSNs)而言，無線視覺感測網路(Wireless Visual Sensor Networks，WVSNs)不僅能達到監控之功用，並且能進一步取得影像資訊，如此一來將更能有效地立即掌控環境場景之現況。而近年來WVSNs的研究議題中，線覆蓋(barrier coverage)應用於邊界防線與偵測入侵者已受到許多學者們的廣泛探討，也由於WVSNs所收集的資料為影像資訊，因此使用過多的視覺感測節點佈建防線，將造成網路存活時間的減少與收集過多不必要之影像，且對於節點影像資訊回傳將會造成頻寬負載的增加，若取得過多重覆影像則會造成後端影像處理之困難度。 因此，如何有效延長網路存活時間與較少數量的視覺感測節點來佈建防線，已成為無線視覺感測網路中一項非常重要之議題。此外，過往針對無線視覺感測網路下之barrier研究，並未考慮到網路存活時間與如何有效追蹤監控入侵者其影像資訊並對於每一片段影像應具有一定之品質（影像監控厚度），如此一來將難以辨視其所收集到的影像。因此，本研究將加入睡眠機制並結合入侵者追蹤機制與影像厚度之考量，藉此提供已較佳之監控品質(Quality of Monitor, QoM)。也就是說，本研究將針對無線視覺感測網路中之防線議題做一探討，我們將提出以集中式的防線建構演算法結合睡眠機制達到延長整體網路存活時間，並藉由本研究所提出之入侵者監控追縱機制其有效達到監控追蹤入侵者之影像資訊，並透過較少數量之視覺感測節點來佈建具備有一定影像監控厚度之K-Strong Barrier Coverage。 The wireless visual sensor networks (WVSNs) are composed of distributed visual sensor nodes. The WVSNs can not only provide monitoring functions like wireless sensor networks but also capture real-time image of the monitoring environment. Among the issues of WVSNs, barrier coverage has been widely discussed by researchers in recent years. However, networks lifetime decreasing and redundant visual collecting will be caused by the forming barrier with too many visual sensor nodes. Furthermore, the breadth of coverage is the most important factor of the Quality of Monitor to provide the well image information. We proposed an efficiently target tracking and monitoring with better Quality of Monitor (QoM) by involving the sleeping control mechanism and the guaranteed breadth of coverage. In this dissertation, we consider a centralized K-strong barrier coverage construction mechanism with sleeping control mechanism to prolong the network lifetime. Otherwise, the image information of intruder is efficiently captured by proposed monitoring and tracking mechanism with the least visual sensor nodes.
