Weighted Category Matching Algorithm in Sensor Cloud for rapid retrieval

Abstract

Sensor-cloud is a relatively new interdisciplinary domain that combines the fields of Wireless Sensor Networks (WSN) and Cloud Computing. The major issue needs to be addressed in Sensor-Cloud is storage and retrieval of data. Data security is preserved by encrypting the sensor data before storing it into the cloud. On analysis of existing methods, there are two different issues, First issue; Encrypted Document matching is performed based on their plaintext keywords which is not suitable for sensor data and Second issue, subscribers are categorized based on their predicates. So, the storage space required is more. To overcome these issues, the paper proposes a new indexing structure which is suitable for sensor data and a new algorithm called Weighted Category Matching Algorithm (WCMA) for quick retrieval. On comparing with existing methods, the proposed WCMA algorithm achieves a better document retrieval and results are discussed in implementation details.