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研究生:詹家驊
研究生(外文):Chia-Hua Chan
論文名稱:在多重跳躍行動網路上預測連結變化之省電與高輸出量繞路協定設計
論文名稱(外文):Prediction of Link Variation for Energy Efficient Routing in Multi-hop Mobile Ad Hoc Networks
指導教授:陳青文陳青文引用關係
指導教授(外文):Ching-Wen Chen
學位類別:碩士
校院名稱:逢甲大學
系所名稱:資訊工程所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:38
中文關鍵詞:行動隨意網路路徑找尋能源消耗路徑變化傳輸資料量
外文關鍵詞:power consumptionlink variationmulti-hop mobile ad hoc network
相關次數:
  • 被引用被引用:0
  • 點閱點閱:156
  • 評分評分:
  • 下載下載:2
  • 收藏至我的研究室書目清單書目收藏:0
在行動隨意網路中,如何節省傳輸耗電量是一個重要的研究議題。在過去的方法中,通常會找一條目前傳輸耗電量最小的路徑。然而在行動隨意網路中由於節點具有移動性,可能造成路徑發生變化,而使目前找到的最佳路徑在經過一段時間後變的不再是最省電的。為了要獲得最佳的傳輸能源效益,可以在一開始時使用目前最佳的路徑,而在該條路徑耗電量大於另一條時更換路徑進行傳輸。因此在我們所提出的方法中,在找路時將保留多條路徑,並藉由預測路徑耗電量變化,找出路徑耗電量變化的交點。當到達該時間點時直接進行換路,而能使用目前耗電量最低的路徑進行傳輸,由於事先保存路徑不需重新找路,因此能減少網路負擔與找路時的耗電。使得傳輸時的電量消耗盡可能的降低。在實驗模擬中,將我們所提出的方法與被動式繞路協定DSR、以電量為考量的MMBCR以及以佇列內的封包數量為考量的minimum queue length在佇列延遲、找路次數、電量效益等方面進行比較分析。
In multi-hop mobile ad hoc networks, the transmission power is an important issue. In the present methods, they usually try to find a route which is best now. But in multi-hop, the nodes are mobility may cause the path be variation. So that the current best path, will not the best any more during some time. In order to get best power efficiency, uses the currently best path at begin and change to another path when there has other path best than now using. In our proposed method, the source node will keep multiple paths in the cache. And predict the path power consumption, so that we can determine the time that has another path best than now using. So source will always use the best path all the time, and get the best power efficiency. In the simulation we compare our method with DSR、MMBCR、minimum queue length, in queuing delay、times of finding route and power efficiency.
誌謝 i
摘要 ii
Abstract iii
目錄 iv
圖目錄 v
表目錄 vi
第一章 簡介 1
1.1 研究動機 3
1.2 論文架構 5
第二章 相關研究 6
2.1 被動式繞路協定 6
2.2 以最小電量消耗為考量 6
2.3 以剩餘電量為考量 7
2.4 多路徑的繞路協定 9
第三章 預測連結變化之省電與高輸出量繞路協定 11
3.1 分析傳輸距離與傳輸時間及電量消耗關係 11
3.2 相對移動速率 14
3.3 平均移動距離 16
3.4 電量消耗的量測法則 18
3.5 換路時間點的推算 19
3.6 繞路協定的設計 20
第四章 模擬 22
4.1 模擬環境介紹 22
4.2 模擬結果 24
第五章 結論 28
參考文獻 29
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