Hawaii International Conference on System Sciences

Geographic routing protocols for Vehicular Ad hoc NETworks (VANETs): A survey

Novel optimized link state routing protocol based on quantum genetic strategy for mobile learning

The unmanned aerial vehicle communication networks (UAVCN) comprises of a collection of unmanned aerial vehicles (UAVs) to build a network that can be used for many applications. These nodes autonomously fly in free space in ad-hoc mode to carry out the mission. However, the UAVs face some challenging issues during collaboration and communication. These nodes have high speed, hence the communication links fail to route the traffic that affects the routing mechanism. Therefore, UAVCN communication affecting the quality of service and facing the performance issue. Power is another major problem to limit and optimize the use of power, the energy-efficient mechanism is needed. In this paper, an attempt is made to explore the issues of unmanned aerial vehicle communication networks: UAVCN characteristics, UAVCN design issues, UAVCN applications, routing protocols, quality of service, power issue and identify the future open research areas which could be considered for further research to explore the UAVCN technology.

UAV Communication Networks Issues: A Review

A survey of routing protocols based on link-stability in mobile ad hoc networks

A link-state QoS routing protocol based on link stability for Mobile Ad hoc Networks

Ad hoc mobile network usually called MANET (Mobile Ad hoc Network) is an autonomous system of mobile nodes connected by wireless links and forms a temporary network with a variable topology. MANET work without preexisting fixed infrastructures and without a centralized administration. The performance of a MANET network is strictly related to the capacity of the routing protocol implemented to adapt itself to the unpredictable changes in the network topology and the link state. One of these routing protocols is OLSR (Optimized Link State Routing Protocol) which assumes that all the nodes are in a trusted environment. However OLSR is vulnerable to all kinds of malicious attacks. In this paper, we proposed a security mechanism that is an extension of OLSR, called CRY-OLSR. This new mechanism is based on an asymmetric cryptographic that allows the identification and then the isolation of malicious nodes in the network. The simulation results, using OPNET simulator, show the effectiveness of our mechanism.

CRY OLSR: Crypto Optimized Link State Routing for MANET

MANET networks (Mobile Ad hoc Networks) are a sub class of mobile and wireless networks. In this type of network, all the nodes are mobile and no fixed infrastructures are considered existing. Among the challenges of the MANET, the stability and the durability of the selected paths in the network. In a previous work, we proposed a solution to this challenge by taking into account the mobility of nodes. In this paper, we present an extension of this work by taking into account conjointly two metrics: the nodes' mobility and the residual energy. The validation results of this new work, using the OPNET simulator, have shown considerable improvement in the quality of installed paths compared to our previous work.

A new scheme for electing stable MPR nodes, based on the mobility degree and the residual energy, for the OLSR protocol

Mobile Ad hoc networks are infrastructure less networks, which are formed by a number of autonomous wireless and mobile nodes. Many Ad hoc routing protocols are proposed, in the literature, for electing paths between communicating nodes. Due to the nodes mobility, these paths are unstable and must update them frequently. In this paper, we study the nodes stability and we propose a metric to asses the link stability between two adjacent nodes. To implement this metric, we have modify the MPR (MultiPoint Relay) scheme, in the OLSR (Optimized Link State Routing) protocol, to elect the most stable MPR nodes in the network. The election of stable MPR nodes in the network improves the quality of the established topology, which will be more stable. The simulation results show that the topology in our case is more stable and the quality of the selected paths is improved (decreasing in the end-to-end delay and the lost packets).

https://www.dline.info/jnt/fulltext/v4n4/3.pdf

Ali Moussaoui

Papers

A link-state QoS routing protocol based on link stability for Mobile Ad hoc Networks

A survey of routing protocols based on link-stability in mobile ad hoc networks

CRY OLSR: Crypto Optimized Link State Routing for MANET

A new scheme for electing stable MPR nodes, based on the mobility degree and the residual energy, for the OLSR protocol

A New Scheme for Electing Stable MPR Nodes for the OLSR Protocol