An Adaptive Methode for Structured Replication Datacentric
Storage in Wireless Sensor Networks
(The Institute of Higher Education of Eqbal Lahoori,Mashhad,Iran)
Proceeding of the 5th International Conference on IT & Multimedia at UNITEN(ICIMU 2011),Malaysia
Data-centric storage solutions are energy-efficient algoritms in wireless sensor networks and will greatly reduce total network load. However, storage nodes will become bottleneeks when the amount of events and queries targeted for a particular node is more than its capacity. This paper proposes a novel approach that brings load-balancing and scalability to the network as well as its ability to adapt itself to network conditions. This adaptability is made possiblethrough a load-control mechanism provided by two thresholds which are responsible for changing hierarchy depth and the number of storage replicas as the frequency of events fluctuates in the network.thus, the proposed method will not only reduce storage cost when the event frequency is high but also prevents hotspot problem in the root storage node.Moreover ,it will reduce query traffic by merging replica nodes as the event frequency goes back to It,s normal states. Also, simulator based on discrete-event system simulation methodology is developed to evaluate the proposed method on the basis of storage traffic,query traffic and the number of dead sensors.The results of evaluation shows that the proposed method has performance improvement over other compared methods.
adaptive structured repllcation data-centric storage, wireless sensor network.