Burst data flow mapping load capacity optimization method in sensing cloud environment
An optimization method and load capacity technology, which is applied in the field of sensor cloud communication, can solve problems such as the inability to dynamically configure the network in real time to increase network capacity, inaccurate mapping load estimation, and inability to handle burst data flow mapping problems, etc.
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[0052] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.
[0053] The load capacity optimization method for burst data flow mapping under the sensing cloud environment provided by the present invention comprises the following steps:
[0054] (1) For a specific sensor and edge node (SCE node), all sensors covered by it are divided into sensor clusters according to the received signal strength with the sensor cloud edge node;
[0055] Sensor clusters are divided as follows:
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