Improve Data Processing in WSNs via an Adaptable Routing Protocol Based on Cloud Computing

Nowadays cloud computing is a major content in computer engineering, especially in wireless sensor networks. In this paper, we present a methodology on mobile cloud computing in wireless sensor networks. After referring to previous work and researches about wireless sensor networks and mobile cloud computing, communication problems and challenges, reference and data management in this networks are studied, then with combination of the ability to collect information in wireless sensor networks and the ability to data storage and data processing in mobile cloud computing, we present a new method that makes the transmission of sensors' data easy by a reliable, fast and safe way. In addition, using the Enhanced Developed Distributed Energy-Efficient Clustering routing protocol, energy consumption is optimized in the sensor nodes communication with each other and in presence mobile cloud, the required energy consumption for data transmission in a communication field decreases and a better bandwidth and higher storage and processing power is provided by these networks. In this method, the sensor wireless network requires less storage space for sensor nodes.

Improve Data Processing in WSNs via an Adaptable Routing Protocol Based on Cloud Computing Keywords:

Terms-data processing , integration , mobile cloud computing , model , wireless sensor networks