Load balancing control algorithm for internet of things link under multi-path interference
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TN911;TN915

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    Abstract:

    Under multipath interference, the transmission link of Internet of things is easily affected by multipath effect, which leads to poor channel equalization, and high bit error rate (BER) of Internet of things data forwarding. In order to improve the load balancing control ability of IOT link under multipath interference, This paper presents a load balance control model for Internet of things data forwarding based on fractional interval equalization and bit error rate feedback modulation technology. The model of Internet of things transmission link under multipath interference is constructed, and the multipath characteristics of Internet of things link are analyzed. The spread spectrum channel modulation method is used to filter the inter-symbol interference in the Internet of things link, the fractional interval equalization technique is used to design the channel equalization, and the adaptive channel bandwidth adjustment model is used to suppress the multipath of the Internet of things link. Combined with bit error rate feedback modulation and demodulation technology, load balancing control of Internet of things link is realized, which overcomes the influence of channel on multipath interference and improves load balance of Internet of things link. The simulation results show that the proposed algorithm is used for load balancing control in the Internet of things link. The code element fidelity of the data forwarding output is good, the bit error rate is low, and the link forwarding adaptive control performance in the multipath interference channel is better. The robustness and robustness of the Internet of things link are improved.

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  • Received:
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  • Online: August 23,2021
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