Abstract
We proposed a crowd cloud routing protocol based on opportunistic computing to improve the data transmission efficiency, reliability, and reduce routing overhead in wireless sensor networks. Based on the analysis of the demand of big data processing in wireless sensor network, the data analysis and processing platform for wireless sensor network are designed based on the combination with the cloud computing. The cloud platform includes the main nodes, the nodes, and the core nodes. There are the engine and the drive between the wireless sensor network and the cloud server. Secondly, aiming at the problem of data transmission in the cloud platform, we design an opportunistic computing model which is suitable for wireless sensor networks to minimize the weight of routing management and network overhead. Then, we design an opportunistic calculation model to guarantee the data transmission scheme of the cloud platform. Finally, by eliminating the factors that may cause the link instability, the crowd cloud routing protocol is proposed. The experimental results show that the proposed crowd cloud routing protocol has the functions of real-time and reliability and reduces the cost of routing request.
Highlights
With the rapid development of large data applications and the increasing demand for wireless mobile computing, [1] it has become the key to provide integrated service quality for wireless sensor networks [2]
We proposed the crowd cloud routing protocol based on opportunistic computing for wireless sensor networks
In the process of the request message and the response message of the crowd cloud routing, the cloud platform is effective from the node according to the resource loss and propagation distance opportunistic to calculate the weight of the cloud path W, that is, the cloud platform: 8 >>>>>>
Summary
With the rapid development of large data applications and the increasing demand for wireless mobile computing, [1] it has become the key to provide integrated service quality for wireless sensor networks [2]. PSE represents the power of sensor nodes to transmit data This is the opportunistic calculation factor for cloud platform. Combining the data forwarding and management requirements of cloud platform, the opportunistic of wireless sensor networks will be calculated to combine the objective function and driven constraints together and form the opportunistic planning function. 5. If the results do not satisfy formula (2) constraints on the cloud platform and sensor node, by chance, calculation sections dyed mapping fusion adjust and update. 9. To solve the problem in the process of finding the best sensor node set and cloud platform work node set as the final wireless sensor network data transmission system planning. In wireless sensor network cloud platform, the wireless signal transmission driven model of the core node has two kinds of opportunistic space model and crowd mapping model. In the fusion crowd cloud routing, the signal power received by the receiving party is as follows:
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