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  1. National Taiwan Ocean University Research Hub

Design and Implementation of Data Collection Protocols for Wireless Sensor Networks

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Project title
Design and Implementation of Data Collection Protocols for Wireless Sensor Networks
Code/計畫編號
NSC100-2221-E019-035-MY2
Translated Name/計畫中文名
無線感測網路資料收集協定之設計與實作
 
Project Coordinator/計畫主持人
Chih-Min Chao
Funding Organization/主管機關
National Science and Technology Council
 
Department/Unit
Department of Computer Science and Engineering
Website
https://www.grb.gov.tw/search/planDetail?id=2394549
Year
2012
 
Start date/計畫起
01-08-2012
Expected Completion/計畫迄
31-07-2013
 
Bugetid/研究經費
625千元
 
ResearchField/研究領域
資訊工程--硬體工程
 

Description

Abstract
無線通訊技術與嵌入式感測設備的快速發展,使得無線感測網路(Wireless Sensor Network, WSN)受到熱切的關注。無線感測網路是由多個感測節點組成。感測節點是兼具環境感測、資料處理以及無線通訊功能的設備。這些感測節點會各自感測環境,再以協同合作的方式將感測到的資料回傳給資料收集節點(Sink Node)。各式各樣的無線感測網路應用中,如何將資料正確有效地回傳是最基本且重要的工作。本計畫第一年之目的是提出IEEE 802.15.4/Zigbee樹狀網路環境下的資料收集協定。我們將先定義樹狀網路的瓶頸問題,再嘗試找出能使資料傳輸效率提升的資料收集協定。 樹狀網路或其他預設回傳路徑的結構化網路,在資料是週期性回傳且感測節點運作穩定的環境下,可以有很好的效能。但是當網路中各個感測節點的連接關係常變動(如感測節點移動、沒電或損壞),或是特殊事件發生時才回傳封包的環境下,以結構化為基礎所設計出的協定,將付出相當大的維護成本。本計畫的第二年,我們將提出無結構的資料聚集協定,在節點連接關係不穩定的網路環境下,透過動態選擇資料聚集節點,達到有效率資料聚集及回傳的目的。資料聚集節點的選擇也將考慮電量平衡的因素,期能平均各感測節點電能消耗,達到延長網路運作時間之目的。 除了藉由撰寫模擬程式評估效能,我們也將實作本計畫所設計的協定於Octopus II感測節點上,實際驗證所設計的資料收集協定之效果。 Wireless sensor networks (WSNs) have attracted plenty of attention recently. A WSN consists of multiple sensor nodes and one or more sink nodes. A sensor node is capable of fulfilling environmental sensing, data processing, and wireless communication. Data collected by sensor nodes are sent back to the sink node. In many kinds of WSN applications, a basic but important task is how to deliver data packets correctly and effectively. In the first year of this project, we will design a new data collection protocol for IEEE 802.15.4/Zigbee tree-based networks. We will first formulate the bottleneck problem in such networks and then develop an efficient data collection protocol to solve this problem. Establishing a fix route in advance for data delivery, as what is done in a tree-based or another structured network, works well in a stable network with periodical reporting. However, when the connection between each node is unstable or the data reporting is event-driven, a structured-based network may suffer from considerable maintenance costs. In the second year of this project, we will develop a structure-free data aggregation protocol. By dynamically selecting data aggregation nodes, this protocol is expected to achieve efficient data aggregation. We also consider the energy balance issue when selecting data aggregation nodes. In addition to designing data collection protocols, we will also implement these protocols in Octopus II modules to investigate if they work for a real network.
 
 
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