Smart IoT Control-Based Nature Inspired Energy Efficient Routing Protocol for Flying Ad Hoc Network (FANET)

Abstract

The increasing demand of routing in the field of communication is the most important subject in ad hoc networks now a days. Flying Ad Hoc Network (FANET) is one of the emerging areas that evolved from Mobile Ad Hoc Networks. Selecting the best optimal path in any network is a real challenge for a routing protocol. Because the network performance like throughput, Quality of Service (QoS), user experience, response time and other key parameters depend upon the efficiency of the algorithm running inside the routing protocol. The complexity and diversity of the problem is augmented due to dynamic spatial and temporal mobility of FANET nodes. Due to these challenges the performance and efficiency of the routing protocol becomes very critical. This paper presents a novel routing protocol for FANET using modified AntHocNet. Ant colony optimization technique or metaheuristics in general has shown better dependability and performance as compared to other legacy best path selection techniques. Energy stabilizing parameter introduced in this study improves energy efficiency and overall network performance. Simulation results show that the proposed protocol is better than generic Ant Colony Optimization (ACO) and other traditional routing protocols utilized in FANET. INDEX TERMS FANET, routing, nature inspired algorithms, ACO.

An Optimal Relay Number Selection Algorithm for Balancing Multiple Performance in Flying Ad Hoc Networks

“…In future work, we will further study the performance optimization of FANETs combined with the smart Internet of Things (IoT) based on the inspiration of [35] that proposes a novel routing protocol for FANETs using modified AntHocNet.…”

Impacts of Mobility Models on RPL-Based Mobile IoT Infrastructures: An Evaluative Comparison and Survey

“…The interested reader is referred to [45], [46], [49]- [52] for getting more information about the exact values and specifications of the mentioned aspects in these networks. Accordingly, in order to be able to employ any routing mechanism, e.g., RPL in different networks, it should be appropriately tuned based on the intended IoT infrastructure; for instance some believe that the existing requirements in FANETs prevent the employment of traditional MANET and VANET routing techniques in their infrastructure and these systems must use their own set of dedicated routing procedures [17], [53], while others believe due to lack of appropriate routing mechanisms, FANETs are still dependent on the existing routing protocols for MANETs and VANETs [54], [55].…”

The Authentic 3D Mobility Model Based on Spiral Line for Aerial Backbone Network

“…For the sake of credibility, we perform at least 30 times under each model. Then, we calculate differential coefficient in equation (39), utilizing numerical approximation. Meanwhile, we reduce its data volume by multiplying by certain coefficient and summing subsection.…”

“…Certainly, the special mobility of UAV will cause dynamic connectivity issue (e.g. connection break [38], delay jitter [39] [40]), thereby severely influence the property of ABN, especially routing protocol [14][15][16]. Therefore, the realistic aerial mobility model (AMM) should be developed [17].…”