Cloud 5G Network Research Topics

Cloud 5G Network Research Topics is the technique proposed here. It joins the advantages of both 5G MANET and cloud resources. These combinations improve the whole performance and then manage the effective large number of data. Here we provide the details or information related to our proposed technique.

  1. Define Cloud Assisted 5G – MANET

In the beginning of the research we first see the definition of Cloud Assisted 5G – MANET Technology. It is an interaction system that integrates the advantages of both 5G mobile ad-hoc networks (MANETs) with the cloud computing resources. In this arrangement, 5G MANET allows the interaction directly among mobile devices not depending on the focused structure. At the same time, cloud computing the network by offering extra services and sources like Coordination, storage and the Processing power. The combination of cloud services improves the whole achievements, reliability and scalability of the 5G – MANET, allowing it to efficiently manage the maximum number of data, enhance coordination and adjust to active environments and finally developing a most strong and effective wireless communication model.

  1. What is Cloud Assisted 5G – MANET?

After the definition we understand the deep description of our proposed technique. The 5G MANET feature permits devices to direct interaction with individuals not to depend on the concentrated structure. Simultaneously, the combination of cloud computing makes extra assistance concerning processing power, centralized coordination and storage. This integration improves the whole performance and network’s scalability, allowing it to effectively handle data, adjust to alter situations and enhance interaction reliability, and finally making a strong and adaptable wireless communication framework. But, it is important to stay up to date on current improvements in technology, as the field will be involved before this explanation because of my last update.

  1. Where Cloud Assisted 5G – MANET used?

Next to the deep description we converse where to utilize our proposed technology. In this, the 5G networks offer low latency interaction and high-speed connection among the mobile devices, whereas the cloud computing resources are utilized to offload computation-intensive tasks and storage that decreases the pressure on each device. The combination of cloud resources into the 5G – MANET environment that allows active best assistance, scalability and enhanced resource management for an extensive range of applications and services, and creating it a valid technique for next-generation mobile interaction systems.

  1. Why Cloud Assisted 5G – MANET Proposed? , Previous technology issues

Here the proposed cloud assisted 5G MANET technology overcomes some problems in the previous technologies that were enormous packet loss, Lack of QoS and increased safety breaches.

  1. Algorithms / Protocols

The proposed techniques overcome the existing technology issues by utilizing the following algorithms or methods. Fire Hawk Optimization Algorithm (FHO), Kangaroo-based intrusion Detection, Advanced ad hoc-on-demand distance vector routing-Advanced AODV routing protocol and Encrypts based on ASCII values of the Reflection tree (E-ART algorithm).

  1. Comparative Study / Analysis

For our proposed research we compare various methods to obtain the best outcome when compared to the previous technologies.

  • The E-ART method is used to improve the security of the network, the graphical user authentication is performed by utilizing this and it offers a protection key to only permit the valid users to give access to that network.
  • For enhancing routing performance, the trust of whole nodes is calculated to find the selfish nodes, and the Kangaroo-based identification is implemented to remove the unwanted nodes from the network by using the Bi-LSTM that improves the data transmission protection.
  • For effective route creation, an innovative AODV routing protocol is confirmed and the CH handles the essential details (energy, position update, etc..,) of CM to create the optimal route by employing the Fire hawk optimization algorithm.
  1. Simulation Results / Parameters

In this research we proposed a cloud assisted 5G – MANET technology that overcomes the previous technology issues by using the following performance metrics evaluations. The metrics or parameters that are used are Authentication Time, Energy Consumption, Throughput, Detection Rate, Delay and Packet Delivery Rate with the Number of nodes.

  1. Dataset LINKS / Important URL

In this research we proposed the technique that addresses some existing technology issues by proposing this technique. The following link is utilized to clarify the queries about this proposed research.

  1. Cloud Assisted 5G – MANET Applications

Now we see the application to be utilized for this research, the proposed technology allows an extensive array of altering applications. It allows the urgent responders during crises, assists smart city creativities, improves transportation models over actual-time interactions, increases AR/VR knowledge, robust public security, improves industrial automation, enhances IoT scalability and analytics, optimizes entertainment and gaming, helps military interactions, provides remote healthcare and surveillance efforts. By combining the power of 5G networks and cloud computing, the cloud assisted 5G – MANET provides effective and reliable interaction answers among different fields, covering the path for a mostly connected and innovative future.

  1. Topology for Cloud Assisted 5G – MANET

The topology that we utilized for this proposed research is MANET technology.

  1. Environment in Cloud Assisted 5G – MANET

Let’s see the environment to be utilized for this proposed technology. The environment that we used is a 5G assisted cloud server with monitoring base stations, authentication server, user nodes and the malicious nodes.

  1. Simulation Tools

Our proposed technology follows the succeeding software requirements. The simulation tool that was used to implement the work is Network Simulator NS 3.26. The operating system here used to operate the work is Ubuntu 14.04 LTS. Then the work is performed by comparing the parameters or metrics to obtain the best result.

  Parameters Description


Network parameters

User Nodes 100
Trust Authority Node 1
5G Base Station Node with monitoring agent 1
Block Chain Node 1


Packet parameters

No. of packets ~1500
Packet size 512 KB
Flow timeout 2s
Delay time 1μs

Transmission parameters

Transmission time 0.0097ms
Data Speed 100 Mbps
Range of Transmission 90m
Bandwidth 6Mbps


Block Header 90 bytes
Size of block 72 bytes
Counter of transaction 1-10 bytes

Proof of Work (PoW)


No. of rounds 24
Size of word 8 bytes
Size of key 128 bits
Simulation time 200s
  1. Results

The proposed technology combines the advantages of both the cloud resources and the 5G – MANET technology. It is widely utilized in many applications and is proposed to overcome several previous technology issues to obtain the best result when compared to the existing technologies.

Cloud 5G Network Research Ideas:

Below we provide the research topics that are related to our proposed MANET technology. These topics give assistance to us, when we go through the MANAT related concepts, techniques, applications or any other information related to this proposed technology.

  1. A new approach for routing in Cloud MANET
  2. Energy Efficient Data Routing protocol in CLOUD Assisted MANET
  3. Wormhole Attack Detection Technques In MANET
  4. Link Aware Multipath Routing to Defend Against Black Hole Attacks for MANETs
  5. Performance Analysis of Private Blockchain in Mobile Ad-hoc Networks (MANETs)
  6. Impact Analysis of Various Parameters on the Performance of AODV Routing Protocol in MANET using NS-3 Simulator
  7. An Efficient & Secure Approach under Multiple Attack Prone MANET
  8. Deploying MANET on a Raspberry Pi 4 Model B Test Bench Using the B.A.T.M.A.N. Protocol
  9. Efficient MANETs Routing Algorithm to Mitigate Latency Based on AODV
  10. Game Theory and Decentralized Blockchain Technology Enabled for Secure and Reliable Routing in MANETs in 6G Environments
  11. Performance Assessment of DSDV and AODV Routing Algorithms in MANET under Active Black Hole Assault
  12. A Hybrid Approach for Detecting and Preventing Security Attacks in MANETs
  13. A Tri-Classes Method for Studying the Impact of Nodes and Sinks Number on Received Packets Ratio of MANETs Routing Protocols
  14. A Hybrid Effective Trusted Knowledge Algorithm for Effective Integrated Internet MANET based on Secure Data Transmission
  15. Smart Integrated MANET-DTN Scheme for Network Adaptation Enhancement in Emergency Communication
  16. A study of applications of Block-chain in the MANET
  17. Machine Learning based Secure Data Transmission and Improvement in MANET through Internet of Things (IoT)
  18. Detection and Analysis of Single Blackhole Node with TCP Connection in MANETs using Machine Learning Algorithms
  19. An Intrusion Detection System for MANET to Detect Gray Hole Attack using Fuzzy Logic System
  20. Performance analysis of AODV routing protocol and its modifications for MANET
  21. Cluster-based QoS Enhancement in MANET
  22. Performance Analysis of Efficiently trusted AODV serving Security in MANET under Blackhole Attack Using Genetic Algorithm
  23. Advanced Secure Signature based Multipath Routing protocol for MANET using Density based Spatial Clustering Algorithm
  24. Detecting and Mitigating Wormhole Attack Effect in MANETs Based on Hop Count Technique
  25. Use of Decentralized Blockchain Technology in the Routing Process for MANETs
  26. Detecting black hole attacks in MANET using baiting and timer technique with AODV protocol
  27. Analysis of Smart Healthcare Application in 5G Using Manet
  28. Scene Reconstruction and Trajectory Estimation in Hierarchical MANET
  29. A Mutual Intrusion Detection System for MANET to Address DDoS attacks using Data Mining Techniques
  30. Rapid Assessment of MANET Reliability Trends
  31. MANET’s Node Secure Mobility Predictions using Enhanced Adaptive Learning Techniques
  32. Hybrid Energy Aware Bio Inspired Technique to Improve Network Lifetime for MANETs
  33. Improving the performance of OLSRouting using PHY-IP information for realistic V2V/MANETs
  34. Trust aware secure energy efficient hybrid protocol for MANET
  35. A Study on MANET: Along with Recent Trends, Applications, Types, Protocols, Goals, Challenges
  36. An Adaptive Gateway Selection Mechanism for MANET-IoT Applications in 5G Networks
  37. A Comparative Analysis of MANET Routing Protocols on Cluster Head selection: with fuzzy logic approach and without fuzzy logic approach
  38. ETSAODV: An Efficient and Trusted Secure AODV with Performance Analysis for MANETS suffering Blackhole Attack
  39. Mobility-Based Optimized Multipath Routing Protocol on Optimal Link State Routing in MANET
  40. Revisiting the OLSRv2 Protocol Optimization in SDN-enabled Tactical MANETs
  41. Deep Optimization based Routing Protocol for Energy Efficient Routing in MANET-IoT
  42. WALS: A Lightweight Stateless Label Switching Framework Based on Prime Theorem for MANETs
  43. Gossip-Based Interest Forwarding in NDN over MANETs
  44. Enhancement of Throughput and Energy Effeiciency Using Enhanced Dynamic Power Consumption MAC Protocol in MANET
  45. A Novel Trust Value Based Mobile Ad hoc Networks (MANETs) Security
  46. Cluster Based MANET Security with N-TH Degree Truncated Polynomial Ring (NTRU) Public Key Cryptosystem
  47. Deep Unfolded Superposition Coding Optimization for Two-Hop NOMA MANETs
  48. A Review of AI-based MANET Routing Protocols
  49. C-QoS-AOMDV: A Cluster Based QoS Aware Multipath Routing Protocol for MANET Using Hybrid Soft Computing Techniques
  50. Node Mobility and Encounter Rate Metrics to Enhance Stability in MANET