[摘 要] 無線傳感器網絡是目前研究的熱點,RFID復合事件識別是無線傳感器網絡的重要的應用之一。由于目前RFID復合事件的表述方法多樣且缺乏理論依據,使得RFID復合事件識別在實際的應用過程中,出現同一事件表述方法不一,符合事件分解錯誤等問題。本文使用離散事件演算的理論,基于已有的RFID復合事件的組成方法,提出了對RFID復合事件的新的表述形式,使得RFID復合事件的表示形式更加嚴謹并且方便對RFID復合事件是否成立進行判斷。
[關鍵詞] 離散事件演算; RFID復合事件; 語義表述方法
[中圖分類號] TP393 [文獻標識碼] A [文章編號] 1673 - 0194(2013)012- 0077- 04
主要參考文獻
[1] T Ishikawa, Y Yumoto, M Kurata, et al. Applying Auto-ID to the Japanese Publication Business to Deliver Advanced Supply Chain Management, Innovative Retail Applications, and Convenient and Safe Reader Services [C]. Auto-ID Center, Keio University, 2003.
[2] Roozbeh Derakhshan, Maria E Orlowska, Xue Li.RFID Data Management: Challenges and Opportunities[C]. IEEE First International Conference on RFID, 2007.
[3] C David, Luckham. The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems [M]. Boston: Addison Wesley, 2002.
[4] S Polniak.The RFID Case Study Book: RFID Application Stories from Around the Globe. Abhisam Software, 2007(2).
[5] Kowalski R Sergot. A Logic-based Calculus of Events[J]. New Generation Computing ,1984(4): 67-95.
[6] Erik T Mueller. Commonsense Reasoning[M] San Francisco, California:Morgan Kaufmann, 2006.
[7] M Shanahan. The Event Calculus Explained[J]. Artificial Intelligence Today, 1999(1600):409.
[8] J McCarthy, P Hayes. Some Philosophical Problems from the Ptandpoint of Artificial Intelligence[M].Edinburgh: Edinburgh University Press. 1969.
[9] Mueller, T Erik. Commonsense Reasoning [M]. San Francisco: Moran Kaufmann,2006.
[10] F Wang, S Liu, P Liu,et al. Bridging Physical and Virtual Worlds Complex Event Processing for RFID Data Streams[C] . International Conference on Extending Database Technology (EDBT) , LNCS 3896, 2006.
[11] Evan Welbourne, Nodira Khoussainova, Julie Letchner,et al. A System for Specifying, Detecting, and Managing RFID Events [C].MobiSys’08, Breckenridge, Colorado, USA ,2008.
[12] Fusheng Wang, Shaorong Liu, Peiya Liu. Complex RFID Event Processing [J]. The VLDB Journal,2009(18):913-931.
[13] James F Allen. Maintaining Knowledge about Temporal Intervals[J]. Commun. ACM, 1983, 26(11): 832-843.
[14] D Patel, W Hsu, M L Lee. Mining Relationships among Interval-based Events for Classification[C]. Proceeding of International Conference on Management of Data / Principles of Database Systems,Vancouver,Canada,2008.
[15] Xiaohui Zhao, Chengfei Liu, Tao Lin. Incorporating Business Logics into RFID-enabled Applications[J]. Information Processing and Management ,2012(48):47-62.