Abstract:
Nowadays, wireless sensor network, as an enabling state of the art technology has become an area of particular interest due to their wide usage in a great number of different application areas. Recent advances in the technology of electronic circuits gave the opportunity for minimizing the size and extending the lifetime of the wireless sensor nodes. However, the demand for compact size and low power consumptions has restricted the transmission range and data accessibility of wireless sensor networks. In order to solve the problem mentioned above, an integration solution between the wireless sensor network and the existing public network using various Internet accessing methods is proposed and discussed in this thesis. Through the integration, it is aimed that data collected by local sensors can be made available worldwide. With the integrated network, further development including introducing simultaneous backwards controlling functions and cloudy computing for massive data processing have been implemented. The aim of enhancing the network to support simultaneously backwards communication is to create a close-loop system where user will not only be able to observe the real-time data visually but get use of these data to make decisions to control distanced objects remotely. Whereas the introducing of cloudy data processing system is aimed to ensure that the system will not be bottlenecked while dealing with enormous amount of data from various sensor networks.
