## 2 Literature Survey
Because of this challenge, they expanded the current Locality-Sensitive Hashing (LSH) methodology to incorporate the time factor and further introduced a new LSH-based approach to time-aware and privacy-conserving service recommendations. In order to confirm the feasibility and efficiency of this proposal, they performed detailed experiments on a large-scale real-world dataset. The results of the experiment show that in guaranteeing privacy preservation, the method achieves a successful trade-off between accuracy and efficacy of recommendations. [PERSON] et al. [61] proposed a blockchain in the IoT network that works as a centralized server to control and manage IoT networks. Their simulation results show that the proposed device is efficient and feasible for capturing, measuring, and storing trust values of inv-vehicle networks. [PERSON] et al. [62] focused on modeling the trustor-trustee relationship in the Internet of Things and proposing recommendations for designing trust management models effectively. The effects of the proposed guidelines on a basic confidence paradigm were shown by simulations. [PERSON] et al. [63] discussed Mobile Edge Nodes (MENs) and also described edge techniques to reduce power consumption and enhance the performance of the network. [PERSON] et al. [64] proposed a novel IoT intrusion detection system (IDS) taxonomy that illuminates IoT IDS techniques, their benefits and drawbacks, IoT attacks that target IoT communication networks, and the related advanced IDS and detection capabilities to detect IoT attacks. This technique, called \"cluster head,\" gathers information from neighboring nodes and then aggregates it so that power can be reduced for the performance enhancement of the IoT network. [PERSON] et al. [65] proposed the use of IoT networks for 5G technology and also discussed how 5G technologies can be advanced with IoT sensor nodes. The concept of the CPS was introduced with the IoT structure. [PERSON] et al. [66] discussed the energy-saving protocol used in WSNs and provide a comparative analysis of multi-agent and single-agent-based protocols. In a 5G IoT scenario involving several UAVs, [PERSON] et al. [67] addressed the connectivity issue between UAVs and cellular base stations; these are responsible for uplink channel modeling and uplink transmission efficiency analysis. They also consider the effects of 3D distance and multi-UAV reflection on wireless signal transmission in the channel model. [PERSON] et al. [68] established a safe energy exchange network. In comparison to other related schemes, the blockchain-based energy sharing IoT framework offers more stable consumer services. Furthermore, such technology can help secure user privacy. [PERSON] et al. [69] discussed climate-smart agriculture to reduce the many losses due to climate effects. In addition, they provide a review of agricultural literature related to IoT design. [PERSON] et al. [70] discussed cryptography algorithms for the IoT network with the help of blockchain technology to provide a secure flow of information between sensor nodes. [PERSON] et al. [71] proposed a cellular architecture whereby IoDs utilize the resources of the cellular network for energy harvesting and information transmission. The radio resources of the cellular network are divided by time and frequency, and each time-frequency block is called a Cellular Resource Block (CRB). To verify the derived analytical expressions, system-level simulations were carried out showing that the analytical results matched the simulation results. Moreover, the overall performance of the considered architecture was studied for different system parameters. With the support of an IPv6 over Low Power Wireless Personal Area Networks Protocol (6 LoWPAN), [PERSON] et al. in [72], discussed the protection features of the IoT network and also suggested a definition of an IoT scenario RPL protocol. Their paper discusses the routing needs of a Low-Power and Lossy Network (LLN), the original protocols, and new approaches.