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A Correlation-Based Energy Balanced Probabilistic Flooding Algorithm in Wireless Sensor Network

The costly explicit and implicit acknowledgements (ACKs) are issues that need to be addressed in the existing reliability aware flooding algorithms. This research focuses on energy efficiency on both data transmission and ACKs, while achieving target reliability and balancing the residual energy of sensor nodes. A correlation-based probabilistic flooding algorithm (CPFA) is proposed. It exploits the link correlation between neighbors and tracks aggregate ACKs to decide whether or not to retransmit a packet. Simulation is carried out to reveal that our proposed scheme saves more than 50% energy on explicit and implicit ACKs in most cases while balancing the residual energy of sensor nodes.