Low-power Design And Realize Based On Cross-layer Power Control Of Wiress Sensor Networks

Wireless sensor network is one of today’s international hot spots of concern. It is a multi-disciplinary field, a combination of sensors,wireless communications, networking and other areas of advanced technology. Wireless sensor network is a large-scale, noninfrastructure network, which is widely used in industrial applications, battlefield surveillance, agriculture intelligence and many other areas.Energy problem become the main problem that restrict the development of wireless sensor networks. Research on low-power wireless sensor networks has been one of the hot spot in wireless sensor networks. In wireless sensor networks, routing profound by impact on network topology and node energy consumption.And layered network design will separate network, which makes the network can not be considered as a entirety.Consider of that power control throughout all layer of wireless sensor networks,we design a low-power wireless sensor network,combained with power control of different layers.Firstly, we analyzed the key factors affecting the energy consumption in wireless sensor networks,such as wireless transmission, power control and cross-layer design.Then we conducted a detailed study of the network layer hierarchical routing protocol,and proposed a low-power consumption clustering routing algorithm. The algorithm improved the mechanism for LEACH,and introduced a load balancing factor to make network energy load more balanced. Simulation by MATLAB, compared to the classical clustering algorithm LEACH algorithm, the results show that the proposed algorithm can effectively reduce energy consumption, and prolong the network lifetime by 30%, and compared to energy-efficient DEEC,it can prolong the network lifetime by11%. Then the cross-layer design is introduced, combining network layer clustering routing information and MAC layer slot allocation mechanism.We proposed a cross-layer algorithm. And compared to the low-power algorithm,simulation results show that cross-layer algorithm can further reduce energy consumption,and prolong the network lifetime 1.88 times.Finally, based on the theoretical analysis, we achieve the cross-layer algorithm in actual environment by using the highly integrated CC2430 chip, combined with the digital sensor DS18B20, and a small amount of peripheral circuits. We design a cross-layer protocol verification platform, and give a detailed schematic diagram of the realization. On this basis,we use IAR Embedded Workbench for MCS-51 development environment to compile cross-layer protocol and complete the programming process.Then we tested the function and power of protocol. The results showed that compared with the competition-based communication, the cross-layer algorithm can effectively reduce network energy consumption and prolong about 26% of the network lifetime.