Dynamic bandwidth allocation and congestion control using data aggregation

Wireless sensor network is a deployment of sensors and the Base station. If base station is not reachable directly for the sensors, an intermediate sink node also deployed as relay node. A sensor senses the environment and forwards the sensed raw data in digital format to the sink hop by hop. Bandwidth allocation is a phenomenon to equally distribute the probability of transmission from sensors to the sink Sink decides the rate, at which data can be received without any congestion. Social Welfare Maximization (SWM) bandwidth allocation approach, allocates the bandwidth based on the demand vector and sensing rate of the sensors. In our proposed scheme bandwidth is allocated dynamically to the sensors on the basis of transmissions being forwarded by the sensors to the sink in a given time slot. In this work we are trying to reduce the redundant transmission by applying Data Aggregation. While the data transmission from sensors to sink, overlapping data from various sensors would be aggregated to generate aggregated packet which reduces congestion. We have compared our proposed work with and without aggregation in SWM.