## 3 Related Work  
Wireless technologies can be used for the conscience-recognition of autonomous Ad-hoc Networks i.e., MANETS [11]. The enforcement among several small UAVs, AODV, and OLSR protocols is researched using the NS3 simulation tool to pursue the potential of ad hoc environments that are joined by mini-UAVs. The protocols are researched with different operations such as UAV mass, nodes, stability, and range of transmission. Such criteria affect the evaluation and quality assessments. Packets and local delivery differentials are the performance metrics under consideration. There are approximations that are seen in the diversification of the transmission range and density [12; 13]. The authors examine the weaknesses of the proactive routing scheme optimal link state routing (OLSR) against the node isolation attack sort denial-of-service (DOS) exploit. After examining the attack, the authors suggest an extended OLSR (EOLSR) protocol, a trust-based security measure, to protect OLSR nodes from it. The chosen strategy can  
Figure 3: Year-wise Analysis of Publication: Web of Science Core Collection. Data were obtained from www.webofscience.com/wos/woscc accessed on 25 February 2023. Figure 2: Performance of OLSR Protocol: Web of Science Core Collection. Data were obtained from www.webofscience.com/wos/woscc accessed on 25 February 2023.  
identify node isolation threats by ascertaining from a node's Hello packets whether or not it is advertising accurate topology information. When compared to normal OLSR, the experiment outcomes demonstrated that the suggested protocol is capable of achieving routing security rapidly growing the ratio of delivered packets, and declining the proportion of lost packets [14]. By applying extensive dynamic updates for the routing parameters, the authors of [15] suggested a unique cross-layer performance enhancement strategy that is implemented and tested in order to optimize the performance of the SIP signaling system over an OLSR-based MANET. The SIP performance metrics aim to reflect the routing parameters' necessary actions and the SIP signaling condition as accurately as possible. The total QoS of SIP-based VoIP apps over MANET is greatly impacted by the SIP signaling performance. The Cross-Layer OLSR approach has been implemented successfully in reducing the overall delays in SIP procedures, improving signaling performance, and raising the level of system bandwidth and routing process effectiveness. The testing of the proactive and as well as reactive protocols has been the authors' prime focus. An adaptable network architecture using MANET could be set up in disaster zones with little to no infrastructure. Each protocol's performance is evaluated according to QoS, the simulation results show that for every QoS parameter, OLSR surpasses AODV and DSDV. This highlights that OLSR can pick the MPR to raise the PDR and throughput as the number of nodes, simulation regions, and simulation speed advance [16]. The authors compared CBR and TCP traffic and evaluated the effectiveness of several MANET routing protocols. According to the authors' findings, OLSR considerably and consistently improves normalized routing load, proving MANET environment using OLSR is more suitable for handling TCP traffic [17]. In an investigation done by the authors in their work, they differentiated OLSR along with MHAR-OLSR (multipath heterogeneous ad hoc network) scheme [18]. They invented an expansion to OLSR that incorporates new features such as node identification, pathways calculation, path categorization, and path selection. It signifies open lines of communication between these various parts. With diverse numbers of nodes in a heterogeneous scenario, assessment is done on QoS dimensions using the simulation toolkits NS-3 and BonnMotion. According to the findings obtained, MHAR-OLSR exhibits far better performance than the traditional routing protocol [18].