Multiple QoS Parameters-Based Routing for Civil Aeronautical Ad Hoc Networks

2017 ◽  
Vol 4 (3) ◽  
pp. 804-814 ◽  
Author(s):  
Qin Luo ◽  
Junfeng Wang
Keyword(s):  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Qos Parameters ◽  
Hoc Networks ◽  
Multiple Qos

scholarly journals QoS-aware Routing in Multi-rate Ad hoc Networks Based on Ant Colony Optimization

2016 ◽  
Vol 7 (4) ◽  
pp. 1 ◽  
Author(s):  
Aymen Dawood Al-Ani ◽  
Jochen Seitz
Keyword(s):  
Ad Hoc Networks ◽  
Ant Colony Optimization ◽  
Ad Hoc ◽  
Ant Colony ◽  
Node Mobility ◽  
Message Delivery ◽  
Topology Change ◽  
Management Protocol ◽  
Qos Parameters ◽  
Hoc Networks

QoS-aware routing in mobile ad hoc networks (MANETs) is a major challenge due to node mobility and scarcity of resources. QoS-aware routing based on ant colony optimization (ACO) algorithms is a promising approach to overcome these problems. However, as compared to MANETs, vehicular ad hoc networks (VANETs) face additional challenges due to rapid topology change, making the estimation or prediction of QoS parameters difficult or stale. VANETs require time-critical message delivery, as late delivery may result in endangering lives. Currently existing routing protocols usually require the exchange of additional control message between neighbor nodes to compute QoS parameters. This makes the routing protocol too slow to react to fast topology change and also does not consider network congestion when forwarding a data packet. To reduce the overhead introduced to collect information from neighbor nodes and to obtain an accurate estimate of QoS parameters, we use the simple network management protocol to estimate these values locally. This paper describes a new approach for calculating QoS parameter locally and avoiding congestion during data transmission. The simulations are implemented using the network simulator ns-3, and the results show that our approach is scalable and performs well in high mobility.    QoS-aware routing in mobile ad hoc networks (MANETs) is a major challenge due to node mobility and scarcity of resources. QoS-aware routing based on ant colony optimization (ACO) algorithms is a promising approach to overcome these problems. However, as compared to MANETs, vehicular ad hoc networks (VANETs) face additional challenges due to rapid topology change, making the estimation or prediction of QoS parameters difficult or stale. VANETs require time-critical message delivery, as late delivery may result in endangering lives. Currently existing routing protocols usually require the exchange of additional control message between neighbor nodes to compute QoS parameters. This makes the routing protocol too slow to react to fast topology change and also does not consider network congestion when forwarding a data packet. To reduce the overhead introduced to collect information from neighbor nodes and to obtain an accurate estimate of QoS parameters, we use the simple network management protocol to estimate these values locally. This paper describes a new approach for calculating QoS parameter locally and avoiding congestion during data transmission. The simulations are implemented using the network simulator ns-3, and the results show that our approach is scalable and performs well in high mobility.    

scholarly journals A Quality of Service Driven Approach for Clustering in Mobile Ad hoc Networks Based on Metrics Adaptation: Looking Beyond Clustering

2008 ◽  
Vol 4 (4) ◽  
pp. 254
Author(s):  
Zouhair El-Bazzal
Keyword(s):  
Quality Of Service ◽  
Load Balancing ◽  
Ad Hoc Networks ◽  
Clustering Algorithm ◽  
Ad Hoc ◽  
System Capacity ◽  
Network Resource ◽  
Qos Parameters ◽  
Hoc Networks

Recently, research topics are focusing on clustering approaches for Ad hoc networks due to their effectiveness in building a virtual backbone formed by a set of suitableclusterheads (CH) to guarantee the communications acrossclusters. In this paper, we propose a clustering approach to elect suitable nodes’ representatives and to store minimum topology information by reducing the propagation of routing information which facilitates the spatial reuse of resource and increase the system capacity. The clusters must adapt dynamically to the environment changes, we also propose a distributed maintenance procedure that allows managing nodes’ adhesion, nodes’ handoff and CHs’ re-election. Based on our analytical model used to estimate the quality of service (QoS) parameters, we implement an admission control algorithm to determine the number of members inside a cluster that can be accommodated while satisfying the constraints imposed by the current applications. This might effectively drive congestion avoidance on the CH andinterclusters load-balancing to achieve better network resource utilization. The obtained results will help us to readjust the clustering algorithm metrics in order to provide better maintenance and QoS guarantees depending on the used applications. Through numerical analysis and simulations, we have studied the performance of our model and compared it with that of other existing algorithms. The results demonstrate better performance in terms of number of clusters, number of handoffs, number of transitions (state change) on CHs, QoS parameters, load balancing and scalability. We also observed how the connectivity and the stability are maximized when the number of nodes increases in presence of the mobility.

Enhanced Algorithm to Optimize QoS and Security Parameters in Ad hoc Networks

2021 ◽  
pp. 1-27
Author(s):  
Tripti Sharma ◽  
Mujahid Tabassum
Keyword(s):  
Ad Hoc Networks ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Network Performance ◽  
Ad Hoc ◽  
Wireless Sensor ◽  
Improved Performance ◽  
Hoc Networks ◽  
Multiple Qos Constraints ◽  
Multiple Qos

In ad hoc networks, it is essential and desirable that running applications offer appropriate QoS. However, it becomes a challenge, especially in wireless sensor networks. This chapter concentrates on integrating the security aspect with those of disconnection because of the excessive utilization of a particular node. It is seen that in ad-hoc networks that it is possible to enhance the network lifetime significantly by incorporating the battery properties in the routing protocol. So that will increase the network performance while routing protocol integrates the security with battery to support the simulation results. These results show that adaptive DSR protocol maintains useful network lifetime in addition to improved performance. The chapter attempts to improve the overall QoS of the MANET. It is well known that QoS provisioning is an intricate and challenging issue in mobile ad hoc networks, especially when there are multiple QoS constraints.

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