Beacon-Based Hybrid Routing Protocol for Large-Scale Unmanned Vehicle Ad Hoc Network

In this paper, we designed a beacon-based hybrid routing protocol to adapt to the new forms of intelligent warfare, accelerate the application of unmanned vehicles in the military field, and solve the problems such as high maintenance cost, path failure, and repeated routing pathfinding in large-scale unmanned vehicle network communications for new battlefields. This protocol used the periodic broadcast pulses initiated by the beacon nodes to provide synchronization and routing to the network and established a spanning tree through which the nodes communicated with each other. An NS3 platform was used to build a dynamic simulation environment of service data to evaluate the network performance. The results showed that when it was used in a range of 5 ~ 35 communication links, the beacon-based routing protocol’s PDR was approximately 10% higher than that of AODV routing protocol. At 5 ~ 50 communication links, the result was approximately 20% higher than the DSDV routing protocol. The routing load was not related to the number of nodes and communication link data and the protocol had better performance than traditional AODV and DSDV routing protocol, which reduced the cost of the routing protocol and effectively improved the stability and reliability of the network. The protocol we designed is more suitable for the scenarios of large-scale unmanned vehicle network communication in the future AI battlefield.

Network Automation using Ansible for EIGRP Network

Network automation has evolved into a solution that emphasizes efficiency in all areas. Furthermore, communication and computer networks rely on a platform that provides the necessary technological infrastructure for packet transfer through the Internet using routing protocols. The Enhanced Interior Gateway Routing Protocol (EIGRP) is a hybrid routing protocol that combines the properties of both distance-vector and link-state routing methods. The traditional technique to configure EIGRP is inefficient and requires repeated processes compared to the network automation concept. Network automation helps to assist network administrators in automating and verifying the EIGRP configuration using scripting. This paper implemented network automation using Ansible to configure EIGRP routing and advanced configuration in the GNS3 environment. This study is focused on automated scripting to configure IP Addresses to the interfaces, EIGRP routing protocol, a default static route and advanced EIGRP configurations. Ansible ran the scripting on Network Automation Docker and pushed the configurations to the routers. The network automation docker communicated with other routers via SSH. In the testing phase, the running configuration between the traditional approach and automation scripting in the Ansible playbook was compared to verify EIGRP configurations' accuracy. The findings show that Ansible has successfully deployed the configuration to the routers with no errors. Ansible can help network administrators minimized human mistakes, reduce time-consuming and enable device visibility across the network environment. Implementing EIGRP authentication and hardening process can enhance the network security level for future study.

Design an Improved Hybrid Routing Protocol Strategy to Minimize Delay & Overhead for MANET

Mobile adhoc networks (MANET) are a self-coordinated wireless network that is worked without perpetual foundation and base station endorsement. In MANETs (Mobile Ad Hoc Networks) every single node activity goes about as the information source and communicator router. It notices its useful neighbours by making themselves by passing the nodes that got terminated of that correspondence range. In this paper, we designed the IHRP routing protocol with the help of combining the AODV, AOMDV and OLSR routing protocol with the network situation based routing adaptation. In the previous analysis, we identify AODV is more compatible for dynamic environment (where node motion is higher).The AOMDV routing protocol is useful for network load balancing and congestion control. OLSR is compatible for stable network which use as maximum link stability base routing. While we are designing the IHRP routing protocol through of the above (AODV, AOMDV and OLSR) protocol .We handle the network behaviour with better performance in any situation. Initially the RREP are broadcasted to find out the route. The poll of routing, select based on the network situation. The proposed IHRP start with a RREQ packet is to search the distance from its origin to its objective node. The network motion is higher than AODV protocol handle the particular situation but in any situation, while the 70% network node are stable then the route selection and transferring of data with the help of an OLSR routing protocol. The propose IHRP routing protocol also handle the network load and control the network congestion through the AOMDV routing protocol. Our proposed protocol IHRP also works in a hybrid manner while the source and destination belong in longer range such as different cluster. At that time situation based routing was followed between the clusters. We saw in the result part the comparison of IHRP and ZRP routing protocol. Execution of the improved hybrid routing protocol (IHRP) is much better than hybrid routing protocol (ZRP). In case of Packet Delivery Ratio analysis for IHRP and ZRP, we clearly show that The Packet Delivery Ratio is 97.99% by IHRP and 79.49% by ZRP, so we can say that the performance of packet delivery ratio in Improved hybrid routing protocol (IHRP) is much better than ZRP, where Improved hybrid routing protocol (IHRP) and hybrid routing protocol (ZRP) both performed the conjunction of proactive and reactive routing protocol features therefore we can say that Packet Delivery Ratio is better in improved hybrid routing protocol (IHRP) as compare to hybrid routing protocol (ZRP). We clearly show that the Normal Routing Load analysis for IHRP and ZRP where Normal Routing Load is 0.11% by IHRP and 4.72 % by ZRP, so we can say that performance of Improved Hybrid Routing Protocol (IHRP) in case of a Normal Routing Load is much less than the Hybrid Routing Protocol (ZRP). In case of overall parameter matrix (Normal Routing Load, Throughput, Packet Delivery Ratio and Average End To End Delay) the performance of Improved Hybrid Routing Protocol (IHRP) is much better than existing Hybrid routing protocol (ZRP).

EEHRP: Energy Efficient Hybrid Routing Protocol for Wireless Sensor Networks

With Multi-Objective Optimization (MOO) mechanisms, many practical scenarios are imitated in Wireless Sensor Networks (WSNs). In MOO numerous desirable conflicting or non-conflicting objectives contend with one another and the decision has to be done among multiple available solutions. Based on the type of situation, Programme, and issue to be solved, the MOO problem has varied solutions. The solution chosen is a tradeoff solution on several occasions. In WSN, it is possible to identify MOO issues and associated solutions based on network architecture, node deployment, MAC strategies, routing, data aggregation, node mobility, etc. In this context, the paper proposes mobility aware, competent; delay tolerant Energy Efficient Hybrid Routing Protocol (EEHRP). Optimizing several metrics to pick the best route from the source to the target node is the cornerstone of the EEHRP. Multi-Objective optimization from optimization theory is a NP-hard problem. EEHRP seeks to obtain a Pareto optimal solution for the section of best MOO-based route under sensor node. The simulation results demonstrate that, relative to state-of-the-art solutions, EEHRP is efficient in terms of energy, throughput, delay, control- and routing-overheads. Furthermore, the paper investigates statistical significance of the findings obtained across confidence intervals. To prove EEHRP’s competence, a confidential interval of 95% is inserted into the simulation results obtained to represent margin of error around the estimated points. The on-hand state-of-art solutions and the propensity of the research fraternity in relation to MOO are also analyzed in this paper.