Wireless sensor distributary system based on cloud computing

Abstract

The invention discloses a wireless sensor distributary system based on cloud computing. A sensor node comprises an equipment auxiliary module, wherein the equipment auxiliary module is used for judging whether local resources lack or not, if the local resources lack, tasks are prepared for conducting distributary to surrounding service mobile equipment, and the mobile equipment comprises a cloud virtual machine module and a middle part module. The cloud virtual machine module searches for resources of the mobile equipment surrounding the sensor node, the resources are arranged according to the idle-and-busy degree, the sensor node selects suitable mobile equipment to conduct service according to self needs, and the mobile equipment forms a mobile cloud environment. After the sensor node selects the mobile equipment, the middle part module conducts distributary on the tasks to the selected mobile equipment to conduct processing, after the tasks are completed, the mobile equipment returns to a task result, and the used mobile equipment is released to a cloud virtual machine. With the wireless sensor distributary system, the sensor node can conduct distributary on the tasks to the surrounding mobile equipment of the sensor node, and the tasks which need completing can be completed through the mobile equipment.

Description

technical field [0001] The invention relates to a wireless sensor distribution system based on cloud computing. In other words, mobile devices with cloud computing form a cloud computing platform, a system for shunting wireless sensor networks. Background technique [0002] A wireless sensor network (WSN) is a wireless network composed of a large number of stationary or moving sensors in a self-organizing and multi-hop manner. and report to the server. A large number of sensor nodes send the detection data to the server through the aggregation node through other networks. Compared with the traditional wireless sensor network, the current wireless sensor network has a wider range of applications. In military, transportation, and public security fields, sensor nodes not only need to detect information such as video, audio streams, still images, and surrounding sensor nodes, but also have higher requirements for network performance (for example, delay, data processing speed,...

AI Technical Summary

Problems solved by technology

[0008] Problem 1. Limited processing capacity

Sensor nodes need to send a large amount of sensor data to the background server for processing, which may lead to increased communication costs and prolonged response time

For example, when a sensor node detects a change in its surrounding environment, it takes quite a long time to transmit data to the backend server, and it may not have enough space to store the large amount of data to be transmitted

In addition, when emergency situations such as fires and earthquakes occur, the data collected by sensor nodes suddenly increases sharply. If these data are sent to the background to serve them, it may cause WSN wireless link congestion and performance degradation.

[0009] Problem 2. Sensor nodes are usually energy limited and easily damaged

The use of a sensor node as a router for other surrounding sensor nodes will cause its battery life to be shortened, detrimental to the availability and robustness of the wireless sensor network

[0010] Problem 3. Deployment and maintenance of sensor nodes and wireless sensor networks are expensive

This solution requires mobile code to run on the sensor nodes, which only alleviates problem 1, but does not solve the other problems

This solution may alleviate problem 2, but does not solve the other problems

[0014] Overall, so far, there are no cloud-based mobile devices to support WSN as a platform for offloading

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