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Wireless sensor networks consist of small devices (sensors) with limited resources (e.g., low CPU power, small bandwidth, limited battery and memory). They can be deployed to monitor objects, measure temperature, detect fires, and other disaster phenomena. They are often used in algorithm. However, for a large-scale sensor network, such global information may not be easy to obtain by each individual sensor, especially when there is possibility of change in topology. Moreover, the algorithms proposed in assume that each sensor encodes only after receiving enough source packets.
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