使用Mobile Mule對孤立的無線感測網路進行資料收集

Abstract

我的論文研究考慮一個 Isolated Wireless Sensor Network的情況下，當一個感測網路與外界不能連通時，因為每個感測器測節點的記憶體是有限的，如何做到有效率的資料儲存管理。將整個網路的記憶體空間想成是一個分散式的儲存系統，網路上有行動式收集裝置mule來特定的sink點收集資料，我們探討下列三個問題：(1) 如何降低因為記憶體不足而產生的封包流失，(2) 當丟棄封包的情況無法避免，如何避免高重要性的封包被丟棄掉，(3) 因為空間或時間的限制，mule不能一次收集到全部的資料時，如何將高重要性的封包儲存在靠近sink的地方，使得mule可以先收集較重要的資料。我們提出一個DSMS的協定來解決上述的問題。DSMS是一套分散式的演算法，它使用類似於heap sort的封包交換方式，透過與鄰居間交換封包來達到我們的目標。透過實作以及模擬來證明DSMS的效用。

This paper considers storage management in an isolated WSN, under the constraint that the storage space per node is limited. The memory spaces of these sensor nodes can be regarded as a distributed storage system. Assuming that there is a sink in the WSN that will be visited by mobile mules, we address three issues: (1) how to buffer sensory data to reduce data loss due to shortage of storage spaces, (2) if dropping of data is inevitable, how to avoid higher priority data from being dropped, and (3) how to keep higher priority data closer to the sink, such that the mobile mules can download more important data first when the downloading time or mule storage is limited. We propose a Distributed Storage Management Strategy (DSMS) based on a novel shuffling mechanism similar to heap sort. It allows nodes to exchange sensory data with neighbors based on only local information. To the best of our knowledge, this is the first work addressing distributed prioritized storaging for isolated WSNs