An energy-efficient objective optimization model for dynamic management of reliability and delay in WSNs

Abstract

As application-driven networks, Wireless Sensor Networks generally require short transmission delay and high data reliability when minimizing energy consumption. Although some approaches have been proposed to tackle this issue, there are few studies that draw attention to the effect of transmission delay and data reliability on minimizing energy consumption. In this paper, we have lots of comprehensive theoretical studies and give the computation models of energy consumption, data transmission delay and data transmission success rate based on IEEE 802.15.4 standard. What’s more, we propose an objective optimization model that minimizing energy consumption while having the constraints of data transmission time and accuracy. The optimization model could dynamically achieve the optimal equilibrium solution by setting the parametric values of optimal equation according to the different requirements of data transmission time and data transmission success rate. The simulation results demonstrate that the validity of computation models. And we find the objective optimization model has a better performance than traditional approaches in the case of dynamically balancing data transmission time and data transmission success rate. Specifically, the proposed optimization model can save up to 41.85% energy consumption compared to Flooding routing algorithm and improve the energy efficient of Reed Solomon code by a factor of 52.6% for the best result.