Industrial Center, Nanjing Institute of Technology, Nanjing 211167, China.
Comput Intell Neurosci. 2022 Jul 1;2022:3342031. doi: 10.1155/2022/3342031. eCollection 2022.
With the evolvement, standards have changed, mobile Internet technology has also been upgraded, and it has also driven the development of smart objects mobile. With the continuous development of smart objects mobile, the bottleneck of small node size and low battery energy storage has not been solved in the end, which makes the research of wireless sensor network energy-saving technology become the focus, and the improvement of routing technology is an effective way to improve energy-saving technology. From the data transmission energy consumption of smart objects mobile, the routing algorithm of smart objects mobile is discussed and analyzed and the classical representative LEACH is the object of in-depth research. Routing algorithms can easily and reliably process network data and make the network work well and are widely used in highly secure military systems and smaller commercial networks. Aiming at these deficiencies, a corresponding improved algorithm is proposed, and it is tested through simulation and specific experiments to verify the correctness and the system's reliability. The SMPSO-BP algorithm converges when the number of iterations is about 600, which is earlier than the LEACH algorithm and the improved LEACH algorithm, so the SMPSO-BP algorithm is due to the other two algorithms. In the wireless sensor network routing energy consumption experiment, in addition, the SMPSO-BP algorithm uses less energy than the other two methods. Therefore, the energy-saving algorithm under the neural network data fusion mechanism is still feasible.
随着演进，标准发生了变化，移动互联网技术也得到了升级，这也推动了智能移动对象的发展。随着智能移动对象的不断发展，节点尺寸小和电池储能低的瓶颈问题最终仍未得到解决，这使得无线传感器网络节能技术的研究成为焦点，提高路由技术是提高节能技术的有效途径。从智能移动对象的数据传输能耗出发，对智能移动对象的路由算法进行了讨论和分析，并以经典的代表算法 LEACH 为研究对象。路由算法可以轻松可靠地处理网络数据，使网络良好运行，因此被广泛应用于高度安全的军事系统和较小的商业网络中。针对这些不足，提出了相应的改进算法，并通过仿真和具体实验进行了测试，验证了正确性和系统的可靠性。SMPSO-BP 算法在迭代次数约为 600 时收敛，早于 LEACH 算法和改进的 LEACH 算法，因此 SMPSO-BP 算法比其他两个算法更优。在无线传感器网络路由能耗实验中，此外，SMPSO-BP 算法比其他两种方法使用的能量更少。因此，基于神经网络数据融合机制的节能算法仍然是可行的。
