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In-Network Storage Model for Data Persistence under Congestion in Wireless Sensor Network

Congestion in wireless sensor networks leads to the degradation of communication links that result in decreased throughput and waste of energy which is one of the scarcest resources of a sensor node. Various techniques have been proposed to cope with data congestion, such as data aggregation techniques, multi hop routing techniques and flow control techniques. Although these techniques help to avoid or control congestion, they do not address the issue of data persistency effectively. This paper presents an adaptive self configuring in-network storage model for data persistency in wireless sensor networks. The model is built on a clustered sensor field where we have utilized dense node deployment in the vicinity of the routing nodes to act as data buffers during congestion periods in order to avoid data loss. We show that the in-network storage model can be used in combination with congestion avoidance/control techniques to develop data persistent congestion avoidance/control strategies