The interest shown by some community of researchers to autonomous drones or UAVs （unmanned aerial vehicles） has increased with the advent of wireless communication networks. These networks allow UAVs to cooperate mo...The interest shown by some community of researchers to autonomous drones or UAVs （unmanned aerial vehicles） has increased with the advent of wireless communication networks. These networks allow UAVs to cooperate more efficiently in an ad hoc manner in order to achieve specific tasks in specific environments. To do so, each drone navigates autonomously while staying connected with other nodes in its group via radio links. This connectivity can deliberately be maintained for a while constraining the mobility of the drones. This will be suitable for the drones involved in a given path of a given transmission between a source and a destination. This constraint could be removed at the end of the transmission process and the mobility of each concerned drone becomes again independent from the others. In this work, we proposed a flocking-based routing protocol for UAVs called BR-AODV. The protocol takes advantage of a well known ad hoc routing protocol for on-demand route computation, and the Boids of Reynolds mechanism for connectivity and route maintaining while data is being transmitted. Moreover, an automatic ground base stations discovery mechanism has been introduced for a proactive drones and ground networks association needed for the context of real-time applications. The performance of BR-AODV was evaluated and compared with that of classical AODV routing protocol and the results show that BR-AODV outperforms AODV in terms of delay, throughput and packet loss.展开更多
Purpose–Security is one of the major challenges in the design and implementation of protocols for mobile ad hoc networks(MANETs).In such systems,the cooperation between nodes is one of the important principles being ...Purpose–Security is one of the major challenges in the design and implementation of protocols for mobile ad hoc networks(MANETs).In such systems,the cooperation between nodes is one of the important principles being followed in the current research works to formulate various security protocols.Many existing works assume that mobile nodes will follow prescribed protocols without deviation.However,this is not always the case,because these networks are subjected to a variety of malicious attacks.Since there are various models of attack,trust routing scheme can guarantee security and trust of the network.The purpose of this paper is to propose a novel trusted routing model for mitigating attacks in MANETs.Design/methodology/approach–The proposed model incorporates the concept of trust into the MANETs and applies grey relational analysis theory combined with fuzzy sets to calculate a node’s trust level based on observations from neighbour nodes’trust level,these trust levels are then used in the routing decision-making process.Findings–In order to prove the applicability of the proposed solution,extensive experiments were conducted to evaluate the efficiency of the proposed model,aiming at improving the network interaction quality,malicious node mitigation and enhancements of the system’s security.Originality/value–The proposed solution in this paper is a new approach combining the fundamental basics of fuzzy sets with the grey theory,where establishment of trust relationships among participating nodes is critical in order to enable collaborative optimisation of system metrics.Experimental results indicate that the proposed method is useful for reducing the effects of malicious nodes and for the enhancements of system’s security.展开更多
文摘The interest shown by some community of researchers to autonomous drones or UAVs （unmanned aerial vehicles） has increased with the advent of wireless communication networks. These networks allow UAVs to cooperate more efficiently in an ad hoc manner in order to achieve specific tasks in specific environments. To do so, each drone navigates autonomously while staying connected with other nodes in its group via radio links. This connectivity can deliberately be maintained for a while constraining the mobility of the drones. This will be suitable for the drones involved in a given path of a given transmission between a source and a destination. This constraint could be removed at the end of the transmission process and the mobility of each concerned drone becomes again independent from the others. In this work, we proposed a flocking-based routing protocol for UAVs called BR-AODV. The protocol takes advantage of a well known ad hoc routing protocol for on-demand route computation, and the Boids of Reynolds mechanism for connectivity and route maintaining while data is being transmitted. Moreover, an automatic ground base stations discovery mechanism has been introduced for a proactive drones and ground networks association needed for the context of real-time applications. The performance of BR-AODV was evaluated and compared with that of classical AODV routing protocol and the results show that BR-AODV outperforms AODV in terms of delay, throughput and packet loss.
文摘Purpose–Security is one of the major challenges in the design and implementation of protocols for mobile ad hoc networks(MANETs).In such systems,the cooperation between nodes is one of the important principles being followed in the current research works to formulate various security protocols.Many existing works assume that mobile nodes will follow prescribed protocols without deviation.However,this is not always the case,because these networks are subjected to a variety of malicious attacks.Since there are various models of attack,trust routing scheme can guarantee security and trust of the network.The purpose of this paper is to propose a novel trusted routing model for mitigating attacks in MANETs.Design/methodology/approach–The proposed model incorporates the concept of trust into the MANETs and applies grey relational analysis theory combined with fuzzy sets to calculate a node’s trust level based on observations from neighbour nodes’trust level,these trust levels are then used in the routing decision-making process.Findings–In order to prove the applicability of the proposed solution,extensive experiments were conducted to evaluate the efficiency of the proposed model,aiming at improving the network interaction quality,malicious node mitigation and enhancements of the system’s security.Originality/value–The proposed solution in this paper is a new approach combining the fundamental basics of fuzzy sets with the grey theory,where establishment of trust relationships among participating nodes is critical in order to enable collaborative optimisation of system metrics.Experimental results indicate that the proposed method is useful for reducing the effects of malicious nodes and for the enhancements of system’s security.
