EFFECTIVE AUDIO STORING AND RETRIEVAL IN INFRASTRUCTURE LESS ENVIRONMENT OVER WIRELESS SENSOR NETWORKS

Audio represent one of the most appealing yet least exploited modalities in wireless sensor networks, due to the potentialy extremely large data volume and limited wireless capacity. Therefore how to effectively collect audio sensing information remains a challenging problem.In sink free environment targeting for disaster management where audio chunks are stored inside the network for retrieval.The difficulty is to guarantee high search success rate without infrastructure support.To solve the problem we design a novel replication algorit hm that deploys an optimal number of replicas across the sensor networks. We prove the optimality of the energy consumption of the algorithm. We implement a sink - free audio on demand wsn system and conduct extensive simulation to evaluate the performance a nd efficiency of our design. The experimental result show that our design can provide satisfactory quality of audio on demand service with short startup latency and slight playback jitter.Extensive simulation result show that this design achieves a search success rate of 98% while reducing the search energy consumption by an order of magnitude compared with existing scheme