Abstract
In wireless sensor networks (WSNs), data aggregation techniques are used to collect the data sample at sink, generated by sensor nodes. Data aggregation for WSNs must address to the issues of WSNs like limited energy in battery powered sensor, and fast and efficient query response which is essential to network performance and maintenance. In TDMA protocol, during the data aggregation sensors nodes consume different energy in different radio states (transmitting, receiving, listening, sleeping, and being idle) and also consume energy for state transition from sleeping to wakeup. Our proposed Energy Efficient scheduling (EES) algorithm reduces state transitions of radio in sensor node there by reducing the energy consumption. Sensor node activity is scheduled so that in wakeup state reception and transmission activities are continuously performed by nodes before going in to sleep state. Our protocol also focuses on reducing co-channel interference and efficiently use of bandwidth.
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