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From the empirical observation that packet errors are influenced by environment condition, we propose an adaptive FEC (forward error correction) mechanism that chooses appropriate error-correction code according to the packet error rate in wireless sensor networks (WSNs). We show that our adaptive FEC (ADL-FEC) can obtain better recovery performance than conventional FEC mechanisms. As ADL-FEC can also reduce acknowledgment frequency, it increases efficient and reduces power in the process. We validated the feasibility of ADL-FEC through our wireless sensor networks.

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Privacy of data owners and query users is vital in modern clouding data management. Many researches have been done on cloud security, but most of them are focused on the privacy of data owners or of query users separately. How to protect the privacy of the data owners and users simultaneously is a great challenge. In this paper, a solution of data storage and query protocol based on classical homomorphic encryption scheme is given to preserve privacy of both data owners and query users. Our main efforts are put on NoSQL database which is less structural than relational database. Storage and indexing structure on NoSQL database, query protocol are proposed, and algorithms for updating and querying are also given. To implement our solution, Berkley DB, an excellent storage solution for NoSQL database is chosen and data are encrypted/decrypted using Elgamal and Paillier encryption system, using basic Java package. Experiments are done under different parameters in order to achieve better efficiency.