Development Of Cloud Platform For Forest Environmental Monitoring Based On Wireless Sensor Networks

There are many methods for forest environment monitoring, such as traditional forestobservatory. With the booming of scientific technology, the technology of Wireless SensorNetworks (WSN) provides a new approach for forest environmental monitoring. As theInternet developing, a new platform which can be used for optimizing the resource andindustry architecture is the Cloud Computing. By sharing data, the user can not only providedata for others, but also they will use more data from others. It is a mutual beneficial mode. Itis very convenient to share data on the cloud platform. The users can manage and use data inan easy way. Otherwise, the data in platform is more security.Traditional forest environmental monitoring is human-based monitoring. Thus, it willcost more money, and the data of monitoring is difficult to manage due to it is scatter-stored.So, it is hard to monitor the forest. However, by using the WSNs, it can continuously monitorthe environment even in remote area where people can not arrive at. The data and informationof sensors can be management uniformly by cloud platform. Then, the users can get the data oncloud platform without considering sensors data collection methods and composition of SensorNetworks. On the cloud platform, when the user registers a new sensor, the platform will starta new monitoring job according to the configuration. It will maintain the data sourceinformation and sensors’ data. Other data source can be supported by the cloud platform, suchas remote sensing image. The data can be stored in cloud storage, such as the text file, otherdata supported by the platform.In the experimental environment, there are7computers with CentOS system. Eachcomputer has been installed Mongodb and Hadoop. Mongodb has7shard servers,3configservers and4router servers. A sharding is deployed on one master node and two slave nodesand an arbiter node. Each master node is installed on7computers respectively. The mode ofReplica pair is applied between master node and slave node. By using this mode it has highavailability and scalability. There is a Hadoop master node and6slave nodes. The plug of Hadoop-Mongodb is adopted to connect hadoop and mongodb. The database supports thestorage of sensor data and files now. It will support more data types.In this paper, a prototype system is built for forest environmental monitoring. The systemcan maintain and manage the sensor data and files. The services of OGC SWE standards areused for the interoperation of sensor data between our system and other systems by the APIs(Application Programming Interface) of the services. The cloud platform provides on-demandservice for querying data. The data can be shared paid or unpaid. It is very convenient for usersto use more data in the system. By testing, the result shows the system is running stably. Whenmany users login the system, there is no exception. By using distributed processing and parallelcomputing in the cloud, it can be effective for a wide range of monitoring applications andrapid processing of data. In the meanwhile, it can provide on-demand services for users.