QoS In Mobile Ad Hoc Networks Research Articles

Implementation of Random Direction-3D Mobility Model to Achieve Better QoS Support in MANET

Mobile Ad hoc Networks (MANETs) provides changing network topology due to the mobility of nodes. The complexity of the network increases because of dynamic topology of nodes. In a MANET, nodes communicate with each other without the help of any infrastructure. Therefore, achieving QoS in MANET becomes a little difficult. The movement of mobile nodes is represented through mobility models. These models have great impact on QoS in MANET. We have proposed a mobility model which is a 3D implementation of existing Random Direction (RD) mobility model. We have done a simulation on AODV with QoS metrics throughput, delay and PDR, using NS-3 and performed analysis of the proposed mobility models with other 3D mobility models, namely Random Way Point (RWP) and Gauss Markov (GM). It is concluded that our proposed model gives better throughput, delay and PDR for AODV routing protocol in comparing to RWP and GM mobility models. This paper is for students and researchers who are involved in wireless technology and MANET. It will help them to understand how a mobility model impacts the entire network and how its enhancement improves the QoS in MANET.

QoS in Mobile Ad-Hoc Networks

A mobile ad hoc network (MANET) consists of mobile nodes communicating over wireless channels. Routing in MANETs is very challenging due to the random mobility of nodes and unreliability of wireles...

A Reliable Based Multicast Approach Using by Fuzzy Logic System for Improvement QoS in Mobile Ad-hoc Networks

A Reliable Based Multicast Approach Using by Fuzzy Logic System for Improvement QoS in Mobile Ad-hoc Networks

A trust-based AODV routing protocol for improved QoS in mobile ad-hoc networks

In mobile ad hoc networks (MANETs), nodes (mobile devices) are located in a self organised way without any infrastructure forming a temporary network. Each node in a MANET moves independently in any direction, thus the network’s topology change rapidly in an unpredictable manner. Wireless nodes try to communicate to the destination using the intermediate nodes. In such situation, MANET is vulnerable to both internal and external attacks caused by malicious nodes present in the network. In this paper we implement an approach based upon trust to provide security to ad hoc on-demand distance vector (AODV) protocol, which helps AODV to detect the compromised nodes. This proposed approach is able to detect the compromised nodes and isolates it from the network. The reliability of the trusted AODV routing protocol is evaluated by implementing black hole attack and the performance is calculated in terms of metrics like packet delivery ratio, throughput and average packet drop. The proposed model increases the packet delivery ratio, throughput and results in reduced packet drop. The evaluation of trusted AODV with black hole attack has been done with the help of QualNet 5.0 simulator.

Trust‐based routing method using a mobility‐based clustering approach in mobile ad hoc networks

ABSTRACTQuality of service (QoS) provisioning in mobile ad hoc networks (MANETs) is one of the fundamental concerns in this area. Autonomous mobility of nodes is one of the main factors affecting the network QoS. A lack of fixed infrastructure and central control on the nodes complicate guaranteeing the QoS in MANETs. Security is a major factor affecting the QoS in such networks. This paper proposes a new routing method based on trust among the nodes and applies a clustering approach to MANETs. This routing scheme can calculate the trustworthiness of the route and the shortest routes to the destination by avoiding identified malicious nodes. The effects of node mobility and number of malicious nodes on routing performances are investigated in the reported research. Simulation is used to show the effectiveness of the proposed approach in comparison with a categorized trust method, Ad hoc On‐demand Distance Vector, trust vector‐based Ad hoc On‐demand Distance Vector, and trust vector‐based dynamic source routing in terms of end‐to‐end delay, network throughput, and packet delivery ratio at the expense of a moderate increase in the routing overhead. The proposed trust‐based routing method finds the trustworthy route by applying end‐to‐end trust calculation and finds the optimal route by performing clustering scheme from the source node to the destination node. In the extended proposed routing method, adding a nonce‐based encryption scheme results in improved packet delivery ratio, network throughput, and malicious node detection rate. Copyright © 2013 John Wiley & Sons, Ltd.

MAC and Routing Layer Supports for QoS in MANET: A Survey

In Mobile ad hoc networks (MANET), Providing QoS guarantee is difficult task due to unreliable Wireless nature of Link, Mobility, Lacking of Centralized Coordination and Channel contention. For Real-time applications (such as video, audio) QoS is More important on transmissions. Many efforts are put on ad hoc networks at both the MAC and routing layers Meanwhile, QoS aware issues are considered in both MAC and routing layers for ad hoc networks. However QoS can ensure by Admission control protocols and reservation mechanisms. This paper aims to investigate factors affecting QoS, admission control protocols, QoS routing protocols, reservation mechanisms, and MAC Layer QoS Supports. This is also aims to provide deep view of QoS in MANET Of current and Future trends.

Comparative Review of QoS-Aware On-Demand Routing in Ad Hoc Wireless Networks

In this paper, a representative set of QoS models and QoS-aware on-demand routing protocols are reviewed with emphasis on their ability to support QoS in mobile ad-hoc networks (MANETs) possibly used in WSNs. In particular IntServ, DiffServ, FQMM, and SWAN QoS models are reviewed followed by different QoS-aware on-demand routings in MANETs from different perspectives such as the challenges, classifications, algorithmic aspects in QoS provisions. Tradeoff in providing support to real time (RT) and best effort (BE) traffic is highlighted. Finally, a detailed and comprehensive comparison table is provided for better understanding of QoS provision in MANETs.

A Load-Balancing and Push-Out Scheme for Supporting QoS in MANETs

Currently, mobile ad hoc networks (MANETs) lack load-balancing capabilities, and thus, they fail to provide good performance especially in the case of a large volume of traffic. Ad hoc networks lack also service differentiation. However, in these wireless environments, where channel conditions are variable and bandwidth is scarce, the differentiated services developed for the Internet are suboptimal without lower layers' support. The IEEE 802.11 standard for Wireless LANs is the most widely used WLAN standard today. It has a mode of operation that can be used to provide service differentiation, but it has been shown to perform badly.In this paper, we present a simple but very effective method for support Quality of Service, by the use of load-balancing and push-out scheme. This approach offers to the mobile node: the ability to alleviate congestion by traffic distribution of excessive load, and to support priority of packets in the single MAC buffer. We evaluate the performance of our algorithm and compare it with the original IEEE 802.11b protocol. Simulation results show that this new approach reduces packet loss rate and increases throughput as well as provides service differentiation in the MAC layer.