| 研究生: |
謝宗穎 Hsieh, Tsung-Ying |
|---|---|
| 論文名稱: |
應用於太陽能無線感測網路之高效適地性選點機制 An effective node-selection scheme for data gathering in specific region of solar-powered Wireless Sensor Networks |
| 指導教授: |
鄭憲宗
Cheng, Sheng-Tzong |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 資訊工程學系 Department of Computer Science and Information Engineering |
| 論文出版年: | 2012 |
| 畢業學年度: | 100 |
| 語文別: | 英文 |
| 論文頁數: | 57 |
| 中文關鍵詞: | 無線感測網路 、太陽能 、排程 |
| 外文關鍵詞: | Wireless Sensor Networks, Solar power, scheduling |
| 相關次數: | 點閱:107 下載:2 |
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此篇論文提出一種在無線感測網路佈建於河流環境中,利用太陽能模組的動態排程以達到增進存活時間與監測範圍的效能。無線感測網路是藉由佈建許多的感測器,並將感測到的資料傳回Sink,然而感測器電量不足以長期供應始終是無線感測網路的缺點,目前為止已經有一些研究針對能量的分析與研究,但大多數的論文都假設佈建於一般環境中。而考量到僅監測河流岸邊的環境時,因為特殊的地理環境限制,若能源的使用沒有有效率的使用,則感測器死亡後易造成整體網路的瓶頸,許多的感測資料將無法傳回同時也無法有效的監控目標區域。此篇論文提出一個佈建具太陽能模組之感測器於監測河岸環境的動態排程,目的為增加此環境中的電源使用與監控範圍之效能。本機制會分析河岸與感測器佈建位置,再將感測器分類在不同的區段,以此為基礎來選擇在該時段需建立三種連線的點,包括了河流間的連線(inter-stream connection)、河岸區段間的連線 (inter-segment connection)和河岸區段的連線(intra-segment connection),來降低封包在傳送過程中的使用能量以穩定覆蓋範圍及能量控管。此篇論文也考慮到河流環境的特殊條件,訂定適當的感測半徑,以適應於不同河流寬度的河岸邊。而實驗結果顯示此篇論文所提出的基於太陽能模組的動態排程可以有效提升整體監測範圍以及電量控管的效率。
This thesis proposes a node selection scheduling on solar-powered Wireless Sensor Networks in order to increase energy and monitor coverage performance. The general problem of WSNs is power starvation, but most researches about WSNs issues focus on general environment, while deploying sensors on stream sides without effective energy control, the sensor would dead and lost sensed information causing by running out of energy. This thesis presents a node selection scheme to enhance the efficiency of power saving and coverage in solar-powered WNSs. Analysis the sensor deployment in the stream environment therefore sensors can be classified to different segments firstly, then select active nodes to build inter-stream connection, inter-segment connection and intra-segment connection. Based on these connections, the number of active nodes and transmitted packets would be minimized. This system would also apply best radius distance to sensors according to the stream wide. Simulation result shows that our scheme can significantly increase the throughput of power saving and monitoring area in Solar-Powered WSNs.
[1] B. Chen, K. Jamieson, H. Balakrishnan, and R. Morris. “Span: An energy efficient coordination algorithm for topology maintenance in ad-hoc wireless networks”In ACM/IEEE conference on mobile computing and networking (MobiCom), 2001.
[2] Y. Yu and V. K. Prasanna, “Energy-balanced task allocation for collaborative processing in wireless sensor networks,” Mobile Networks and Applications, vol. 10, no. 1-2, pp. 115–131, Feb. 2005.
[3] Indrajit Banerjee, Anirban Datta, Hafijur Rahaman, “Efficient Job Allocation and Scheduling Scheme for Wireless Sensor Network” ITBI-10, 12-14 November 2010.
[4] Y. Tian, E. Ekici, and F. O‥ zgu‥ner, “Energy-constrained task mapping and scheduling in wireless sensor networks,” in Proc. of the Workshop on Resource Provisioning and Management in Sensor Networks (RPMSN’05), in conjunction with MASS’05, Nov. 2005.
[5] Q. Cao, T. Abdelzaher, T. He, and J. Stankovic, “Towards Optimal Sleep Scheduling in Sensor Networks for Rare-Event Detection,” Proc. ACM Fourth Int’l Symp. Information Processing in Sensor Networks (IPSN ’05), pp. 20-27, 2005
[6] W. R. Heinzelman, A. Chandrakasan, H. Balakrishnan, “Energy efficient communication protocol for wireless microsensor networks,” In Proceedings of the Hawaii International Conference on System Sciences, pp. 3005~3014, 2000.1.
[7] A. Keshavarzian, H. Lee, and L. Venkatraman, “Wakeup Scheduling in Wireless Sensor Networks,” Proc. Seventh ACM Int’l Symp. Mobile Ad Hoc Networking and Computing (MobiHoc ’06), pp. 322-333, 2006.
[8] K. Kar, A. Krishnamurthy, and N. Jaggi, “Dynamic node activation in networks of rechargeable sensors,” in INFOCOM 2005.
[9] N. Jaggi, “Robust threshold based sensor activation policies under spatial correlation,” in WiOpt, 2006.
[10] A. Kansal, D. Potter, and M. Srivastava, “Performance aware tasking for environmentally powered sensor networks,” in MMCS,2004.
[11] J. Zhao and R. Govindan. Understanding packet delivery performance in dense wireless sensor networks. In Proceedings of ACM Sensys, pages 1-13, Los Angeles, CA, 2003.
[12] B. O. Priscilla Chen and E. Callaway, “ Energy efficient system design with optimum transmission range for wireless ad-hoc networks ”, Proceedings of the ICC, Vol. 2, pp. 945–952, 2002.
[13] Z. Shelby, C. Pomalaza-Raez, H. Karvonen, “Energy optimization in multihop wireless embedded and sensor networks”, International Journal of Wireless Information Networks, No. 1, pp. 11-20, 2005, Vol. 12.
[14] A. Cerpa, J. Elson, D. Estrin, L. Girod, M. Hamilton, and J. Zhao. Habitat monitoring: Application driver for wireless communications technology. In 2001 ACM SIGCOMM Workshop on Data Communications in Latin America and the Caribbean, Apr. 2001.
[15] Y. Xu, J. Heidemann, and D. Estrin, “Geography-informed energy conservation for ad hoc routing,” in Proc. Mobicom, pp. 70-84, 2001.
[16] C. Alippi, G. Anastasi, M. Di Francesco, M. Roveri, “Energy Management in Wireless Sensor Networks with Energy-hugry Sensors”, IEEE Instrumentation & Measurement Magazine, Vol. 12, No. 2, pp.16-23, April 2009.
[17] J. Hong, J. Cao, Y. Zeng, S. Lu, D. Chen, and Z. Li, “A location-free prediction-based sleep scheduling protocol for object tracking in sensor networks,” in ICNP ’09, 2009
[18] Nallusamy, R. & Duraiswamy, K. (2011). Solar powered wireless sensor networks for environmental applications with energy efficient routing concepts: A review, Information Technology Journal pp. 1–10, 2011.