An Adjustable Model in Data Collection Scenario for WSN
Dongchao Ma, Cancan Zhang, Xingguo Sun, Li Ma · 2017
Sensor nodes have the characteristics of small size and limited power. How to prolong the network lifetime and improve the network reliability has been the focus of WSNs. This paper analyzed the flexibility and computing cost problems of current optimization solutions in respect to the uplink traffic aggregation in WSNs. These problems including the singularity of optimization objects, the chaos of lifetime standards and low-adaptability of energy-saving methods, the dilemma between computational complexity and accuracy, and the delayed response to the changes of environment or requirement. After testing the power consumption of data sending and receiving on the mainstream sensor, we introduced a weighted green factor and established a reliability & energy-saving adjustable model called REA-WSN according to RF characteristics. In addition, REA-WSN is an adapted optimal method to different lifetime standards. In this model, the maximum link utilization (MLU) and minimizing the connected dominating set are considered. The former aims to improve reliability and LTS1, the latter is devoted to energy-saving and LTS2. The experimental results show that the adjustment range of reliability can reach 52.08% and that of power consumption can reach 60.51%. In the pure energy saving case, the LTS2 was significantly extended compared with pure reliability case, also extended compared with similar model MinST.