Battery-Aware MAC Analytical Modeling for Extending Lifetime of Low Duty-Cycled Wireless Sensor Network

Emerging techniques and systems for Wireless Sensor Network (WSN) are developed in the last decade for various application fields. In WSN, the sensor nodes are usually distributed over a large area and are powered by batteries with limited energy, maintaining a long service lifetime for the entire network becomes a challenging task. In this paper, a novel battery aware MAC analytical model is proposed for low duty-cycled WSN. The proposed analytical model takes the characteristics of actual battery into account and targets the optimal sleep interval with a reasonable trade-offs between the energy dissipation on sending the preamble and idle listening. The simulation results demonstrate that the proposed approach can improve the energy efficiency as well as guarantee low latency and high reliability.