Abstract
With the rapid development and maturity of unconnected communication technology, effector technology, embedded computing technology, and distributed information processing technology, as well as the rapid advancement of digital processing and computing capabilities, unconnected effector Internet has received more and more attention. It is a new type of self-organizing unconnected multihop Internet. With the development and progress of technology and society, the development of unconnected effector Internet is also advancing by leaps and bounds, and it has a wide range of applications in many fields such as military, civil, environmental, medical, and industrial. At present, the research on unconnected effector Internet mainly focuses on the communication protocol, but there is almost no research on input review of unconnected effector Internet. Due to the limited energy of the effector and the limitation of the transmission signal bandwidth, the use of limited resources for input review research in effector Internet is of great significance to the development of unconnected effector Internet. Therefore, this paper studies the input review of unconnected effector Internet based on the L-A model on the on-chip embedded tune system. Because the classic low-power adaptive cluster layering protocol (LEACH) has the problems of unbalanced energy consumption and short node life cycle, this paper uses the embedded tune technology based on the L-A model and analyzes the remaining energy and location of the unconnected effector Internet node. Parameters are tested and studied. Through the research on the input review of unconnected effector Internet, the simulation results obtained show that the research in this paper is feasible and reasonable.
Highlights
With the rapid development of digital links, the field of nanocommunications has become a hot spot and focus of current research [1]. e development and integration of unconnected communication technology, effector technology, and distributed information processing technology has accelerated the emergence and development of the unconnected effector Internet, which is very important for semiconductors [2]
It is impossible to obtain high-resolution calculations of modal test results. In response to this problem, the genetic algorithm, an optimization algorithm derived from life sciences, was introduced into the optimal configuration of large-scale civil engineering structure modal testing sensors. rough research, it can be known that the best advantage of generalized genetic algorithm in searching is that the results are stable and reliable and the convergence speed is fast
Taking the largest nondiagonal element of the modal confidence matrix as the objective function, a genetic algorithm with binary structure coding is proposed, and a more satisfactory optimization result is obtained, which proves that the sensor optimization method based on the genetic algorithm is better than the sequence method
Summary
With the rapid development of digital links, the field of nanocommunications has become a hot spot and focus of current research [1]. e development and integration of unconnected communication technology, effector technology, and distributed information processing technology has accelerated the emergence and development of the unconnected effector Internet, which is very important for semiconductors [2]. E development and integration of unconnected communication technology, effector technology, and distributed information processing technology has accelerated the emergence and development of the unconnected effector Internet, which is very important for semiconductors [2]. It has been extensively and profoundly developed in many areas of the society. E new protocol uses the Internet nodes in a balanced way, avoids the crashes of intensively used local nodes, and improves the survival time of unconnected effector Internet [3]. Sedighimanesh et al pointed out that unconnected effector Internet can be used in the military and medical fields, but for these, the Internet
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