As smart grid (SG) home area networks (HANs) communicate with various smart devices such as meters, sensors, and actuators on a 2.4‐GHz unlicensed band, the coexistence of different wireless technologies in such networks is a common phenomenon due to the overlapping of channels. In this research, homogeneous and heterogeneous interference are considered to address the coexistence problem in smart utility networks (SUNs). The homogeneous interference is mitigated by utilizing the contention free period (CFP) and the contention access period (CAP) of the MAC layer superframe of IEEE 802.15.4g designed for SUNs. This frame is used to get access for the channel. For this, a slotted CSMA/CA algorithm is used for various priority levels of data with adjustable backoff period (BP) and clear channel assessment (CCA) period in order that nodes (devices) with high priority can achieve high probability of channel access. By modeling the proposed scheme using the Markov chain, the exactness of the proposed scheme is assessed based on throughput, channel access delay, energy consumption per bit, and probability of successful data transmission and collision. A performance evaluation of the proposed scheme is further investigated by comparing it with the existing scheme PA‐MAC. In addition, a channel switching mechanism is explored to mitigate the heterogeneous interference with the help of a Naive Bayes classifier prediction. Finally, the prediction indicates that by choosing the non‐coexisting and the non‐overlapping channel, the proposed channel switching mechanism effectively mitigates the heterogeneous interference.

中文翻译：

---

油漆：优先级感知干扰缓解技术，用于改善智能电网家庭网络中的共存

随着智能电网（SG）家庭局域网（HAN）与各种智能设备（例如仪表，传感器和执行器）在2.4 GHz无执照频段上进行通信，由于重叠，不同无线技术在这种网络中共存是一种普遍现象。渠道。在这项研究中，考虑同质和异质干扰来解决智能公用事业网络（SUN）中的共存问题。通过利用为SUN设计的IEEE 802.15.4g的MAC层超帧的无竞争时段（CFP）和竞争访问时段（CAP），可以减轻同类干扰。该帧用于获取通道的访问权限。为了这，时隙CSMA / CA算法用于具有可调退避周期（BP）和空闲信道评估（CCA）周期的各种优先级数据，以便具有高优先级的节点（设备）可以实现较高的信道访问概率。通过使用马尔可夫链对提出的方案进行建模，可以基于吞吐量，信道访问延迟，每位能耗以及成功的数据传输和冲突的概率来评估提出的方案的准确性。通过将其与现有方案PA-MAC进行比较，可以进一步研究该方案的性能评估。另外，在朴素贝叶斯分类器预测的帮助下，探索了信道切换机制以减轻异构干扰。最后，