A Novel Mobility and Connectivity Aware Stable Clustering Approach for Effective Communication in Flying Ad-Hoc Network

F1ying Ad-Hoc Network (FANET) is a network which consists of group of Unmanned Aerial Vehicles (UAVs) that are interconnected in a wireless medium. FANETs are self-organized with few special characteristics such as low cost, user friendly, easy to deploy, fast performance and collectively adaptable to any kind of situation. Due to its high mobility and dynamic nature it consists of certain design challenges to achieve effective communication. Attaining effective performance with lower energy consumption in FANETs is quite complication task. To overcome this drawback in this research A Novel Mobility and Connectivity Aware Stable Clustering Approach (MCASC) is proposed. Significant parameter-based cluster head (CH) selection is performed by considering the parameters such as distance, mobility factor, residual energy, network connectivity, and correlation factor. High mobility of the UAVs is intelligently controlled by this CH selection process which helps to reduce the energy consumption and delay likewise increases the delivery ratio and energy efficiency. The proposed MCASC-FANETs are implemented in NS2 and as well the parameters which are considered for the process of comparative analysis are energy efficiency, energy consumption, packet delivery rate and end-to-end delay where the outcome is compared with the recent approaches like JRUC-FANET and CBRP-FANET. From the results and discussion, it is understood that the proposed MCASC-FANETs attain high efficiency and packet delivery ratio when compared with the earlier researches.