- Open Access
- Total Downloads : 23
- Authors : N. Kasthuri, K. Sivakumar, Dr. C. Chandrasekar
- Paper ID : IJERTCONV5IS17042
- Volume & Issue : RTICCT – 2017 (Volume 5 – Issue 17)
- Published (First Online): 24-04-2018
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
QOS Analysis of Wireless Network in MANET
N. Kasthuri
Research Scholar Dept. of Computer Science Periyar University, Salem
-
Sivakumar
Research Scholar Dept. of Computer Science Periyar University, Salem
Dr. C. Chandrasekar
Professor
Dept. of Computer Science Periyar University, Salem
Abstract:- Mobile Ad hoc Networks (MANET) is a type of wireless ad-hoc network is a self arranging network of mobile nodes connected by wireless links which creates a flexible topology. The mobile nodes movable free randomly and to arrange themselves in a random method. The wireless ad hoc network topology may develop rapidly and unpredictably. In MANET the routing protocol plays an important role in improving Quality of Service (QoS). There are three different types of routing protocols used such as reactive routing protocol, proactive routing protocol and hybrid routing protocol. The AODV is a reactive routing protocol which establishes routes on- demand such as they are required. In this paper, we described a new protocol based on the AODV which gives better performance than the original AODV routing protocol with respect to set of performance metric such as a packet delivery ratio, throughput, energy consumption and overhead, under different conditions. The proposed routing protocol Modified Ad-hoc on-Demand Distance Vector (M-AODV) describes that the from the source. It also explains a new method for identifying multiple displaces routes. Performance analysis of routing protocol designed for wireless networks has been very difficult. Thus the simulation is for all time utilized to obtain the desired performance results. Simulation was performed by Network Simulator (NS2).
Keywords:- MANETs, AODV, DSDV, DSR, QoS, NS2
-
INTRODUCTION
Mobile Ad-Hoc wireless network is a special case of wireless network devoid of predetermined backbone infrastructure. This feature of the wireless ad-hoc networks makes it flexible and quickly deployable. As the nodes correspond over wireless link, all the nodes must combat against the extremely erratic character of wireless channels and intrusion from the additional transmitting nodes. These factors make it a challenging problem to exploit on data throughput even if the user-required QoS in wireless ad-hoc networks is achieved.
Wireless mesh networks (WMNs) contains several stationary wireless routers which are interlinked by the wireless links. Wireless routers acts as the access points (APs) for wireless mobile devices. Through the high speed wired links, some wireless routers act as a gateway for internet. Wireless mobile devices transfer data to the corresponding wireless router and further these datas are transferred in a multi-hop manner to the internet via intermediate wireless routers. The popularity of WMNs is due to their low cost and auto-organizing features [1, 2].
In this paper the focus is on the problem of providing QoS support for real-time flows, while allocating bandwidth to
elastic flows fairly. A protocol QUOTA (quality-of-service aware fair rate allocation) is proposed, a framework that combines QoS support and fair rate allocation. Their proposed framework QUOTA provides higher priority to real-time flows than elastic flows by reserving the necessary bandwidth for the former and fairly allocating the left-over bandwidth to the latter [3].
-
Components in QoS architecture:
-
Traffic specification:
Specifies source traffic characteristics and desired QoS.
-
QoS routing:
Provides route(s) between source and destination(s) that have sufficient resources to support the requested QoS.
-
Call admission control:
Decides whether a connection request should be accepted or rejected, based on the requested QoS and the network status.
-
Resource reservation:
Allots resources such as wireless channels, bandwidth, and buffers at the network elements, which are required to satisfy the QoS guarantees.
-
Packet scheduling:
Is to schedule packets to be transmitted according to the QoS requirements of the connections.
-
-
Wireless channel characterization:
Specifies the statistical QoS measure of a wireless channel, e.g., a data rate, delay bound, and delay-bound violation probability triplet [4].
The network architecture is illustrated in Figure 1. First, an end system uses traffic specification procedure to specify the source traffic characteristics and desired QoS. Then, the network employs QoS routing to find path(s) between source and destination(s) that have sufficient resources to support the requested QoS. At each network node, call admission control decides whether a connection request should be accepted or rejected, based on the Requested QoS, the wired link status,
and/or the statistics of wireless channels. For base stations, wireless channel characterization is needed to specify the statistical QoS measure of a wireless channel, e.g., a data rate, delay bound, and delay-bound violation probability triplet; this information is used by call admission control.
If a connection request is accepted, resource reservation at each network node allots resources such as wireless channels, bandwidth, and buffers that are required to satisfy the QoS guarantees. During the connection life time, packet scheduling at each network node schedules packets to be transmitted according to the QoS requirements of the connections. As shown in Figure 1, in a network node, QoS routing, call admission control, resource allocation, and wireless channel characterization, are functions on the control plane, i.e., performed to set up connections; packet scheduling is a function on the data plane, i.e., performed to transmit packets.
Fig.1. Network architecture for QoS provisioning
-
QoS Concept:
As defined in [5, 6] Quality-of-Service is a set of service requirements to be met by the network while transporting a flow. Here a flow is a packet stream from source to a destination (unicast or multicast) with an associated Quality of Service (QoS). In other words, QoS is a measurable level of service delivered to network users, which can be characterized by packet loss probability, available bandwidth, end-to-end delay, etc. Such QoS can be provided by network service providers in terms of some agreement (Service Level Agreement, or SLA) between network users and service providers. For example, users can require that for some traffic flows, the network should choose a path with minimum 2M bandwidth.
-
QoS in WSNs:
WSNs are used for a wide range of applications and each application has its own QoS requirements such as delay sensitivity, energy and Network lifetime. QoS is an umbrella
term for a group of technologies that permit network Sensitive applications to demand and receive expected services levels in terms of QoS requirements [7, 8]. In WSNs, QoS requirements can be speed from two perspectives [9]. One is called Network Speed QoS and other as Application Speed QoS. In application speech application has different QoS parameters such as data truthfulness, aggregation delay, fault tolerance and exposure [10, 11]. However, in WSNs every lass of application also has some common requirements. So the network must fulll the QoS needs when transmitting the sensed data from sensor field to the sink. Various data delivery models are used such as continuous, query and event driven [12]. Each model has its own QoS Requirements. The basic QoS issues in WSNs are Described below in details [13] [14].
-
QOS MECHANISMS:
If we want the data stream to obtain desired QoS, every node on the network must be informed about that demands. We can do that in two ways [15]:
-
Packet labeling a packet carries information about the demands.
-
Signalization theres a special signaling protocol Implemented
That is why two QoS models can be used, informing the Network in different ways:
-
Reservation resource basing model
-
Class differentiation basing model
-
-
-
ROUTING PROTOCOLS FOR MANETs
-
Destination Sequenced Distance Vector (DSDV):
The DSDV Routing Algorithm is based on classical Bellman-Ford Routing Algorithm. This is proactive [16, 17] routing protocol and routes are always available. In DSDV periodically each node advertises its own routing table to its immediate neighbors. Every node maintains a routing table that stores all available destinations, the number of hops to reach destination and the sequence number assigned by the destination. The routing table updates can be sent in two ways: a full dump or an incremental update. A full dump sends the full routing table to its neighbors, but in case of incremental update only the changed information since the last full dump is sent. Whenever the network is relatively stable, incremental updates are sent to avoid extra traffic and full dump are relatively infrequent .Routes with more recent sequence numbers are always preferred as the basis for making forwarding decisions, but not necessarily advertised. If two or more routes have the same sequence number, then it selects route with the smallest metric. All routes are loop free and hello messages are periodically exchanged to know new members.
-
Ad-Hoc On-Demand Distance Vector Routing (AODV):
The AODV is a reactive [18, 19] protocol derived from Dynamic Source Routing and DSDV [20], and DSR. It combines the advantages of both protocols. Its route discovery procedure is similar to DSR. When a node has a packet to send to a particular destination and if it does not know a valid route, it broadcasts a route request packet by specifying the destination address. The neighbors without a valid route to the destination establish a reverse route and rebroadcast route request packet. Destination on reception of route request sends the route reply to the source. The route maintenance is done by exchanging beacon packets at regular intervals. This protocol adapts to highly dynamic topology and provides single route for communication. The major disadvantage is large delay for large networks.
-
Problem formulation:
The objective of the work is to compare the performance of two routing protocols namely DSDV and AODV against the two quality of Service (QoS) parameters i. e packet delivery ratio and average end-to-end delay. We also analyze these routing protocols with respect to routing overhead. This study has been carried out under group mobility model which is a very common phenomenon in the battle field operation or disaster recovery operations.
-
-
PERFORMANCE PARAMETERS
In order to calculate the performance of routing protocol such as modified M-AODV and Existing AODV, we compare them with set of execution measurements for example, throughput, Packet Delivery Ratio (PDR), Delay.
-
Packet Delivery Ratio (PDR):
It is a proportion of packets received to packets sent during certain simulation period, it is given by
PDR=PR*100/PS
Where, PR is Sum of packet received by destination node, PS is Sum of Packet sent by source code.
-
Throughput:
It is defined as average transform rate or bandwidth of route, it is given by
TP = PR * SZ / SE
Where, SZ is Packet Size, SE is Simulation End Time [21].
-
End-to End Delay:
Dend-end = N[dtrans+ dprop +dproc]
Where
Dend-end =end-to-end delay D trans =transmission delay D prop = propagation delay D pro c=processing delay
D queue =Queuing delay
N=Number of links(Number of router+1) Note = We have neglected queing delays
Each routes will have its own d trans, d prop, d proc hence this formula gives a rough estimate. D end-end = 264.451[22].
-
-
SIMULATION RESULT AND ANALYSIS
The performance analysis of existing AODV,DSDV and DSR routing protocol in MANETs is performed in a network simulator environment .The tool used here is NS 2.35 Which work with linux platform for simulation. The simulation parameters that are used performance analysis for both routing protocols is mentioned below. Table 1. Shows the main solution parameters used for scenarios.
TABLE I. SIMULATION PARAMETER USED IN THIS EVALUATION
Simulator
NS-2.35
Protocol
AODV, DSDV,DSR
Simulation duration
0-30 Seconds
Simulation area
500m*500m
Number of nodes
15 nodes
Movement model
Random Waypoint
MAC Layer Protocol
IEEE 802.11
Link Type
Duplex-link
Queue size
50
Transmission Range
250
Interference Range
550
Packet Size
1500 bytes/packet
Application Type
CBR
Agent Type
UDP
TABLE II. PACKET DELIVERY RATIO FOR SIMULATION WORK
Parameter
Aodv
Dsdv
Dsr
Pdr
98
92
62
Packet Delivery Ratio
120
100
80
60
40
20
Packet Delivery Ratio
0
AODV DSDV
DSR
107
296
Dsr
Dsdv
Aodv
Parameter
PDR(%)
Delay(ms)
Fig.2. Performance Analysis of PDR TABLE III. DELAY FOR SIMULATION WORK
Delay
286
Delay
205
200
195
190
Delay
185
180
AODV
DSDV
DSR
Fig.3. Performance Analysis of Delay TABLE IV. THROUGHPUT FOR SIMULATION WORK
Parameter Aodv Dsdv Dsr
Throughput
Throughput 70 101 105
Throughput
114
112
110
108
106
104
102
100
98
96
94
Throughput
AODV DSDV DSR
Fig.4. Performance Analysis of Throughput
TABLE V. PERFORMANCE VALUE OF AODV, DSDV AND DSR
Protocols
Pdr
Delay
Throughput
Aodv
98
189
112
Dsdv
92
203
101
Dsr
62
195
105
250
200
150
100
AODV DSDV
DSR
50
0
PDR
Delay
Throughput
Fig.5. Performance Analysis of AODV, DSDV, DSR Protocols
Fig.6. Graphical view for node movement using nam window1
Fig.7. Graphical view for node movement using nam window2
-
CONCLUSION
-
From the criteria such as Throughput, Packet delivery Ratio (PDR),Delay, based on Quality of service Using AODV, DSDV, DSR Protocol it has analyzed AODV Protocol out performance Higher than the other. Using this Quality of Service Compare many parameters like Packet Delivery Ratio (PDR), End to End Delay, and Throughput than PDR gives better performance to other Parameter. In future, it will add performance criteria like Jitter, Data Rate, Bandwidth, Packet Lss, and Velocity and so on. It also Compare some other protocols with GSR, OLSR and TORA and Different Methods.
REFERENCES
-
N. Sah, N. R. Prakash, and D. Bagai QoS Analysis in Mobile Ad- Hoc Networks Using Bandwidth Utilization Technique, Dec 2014.
-
N. Letor, et al., A cluster driven channel assignment mechanism for wireless mesh networks, in Proc. 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, Atlanta, GA, 2008, pp. 659- 665.
-
B. Wang and M. Mutka, QoS-Aware fair rate allocation in wireless mesh networks, Computer Communications, vol. 31, no. 7, pp. 1276- 1289, 2008.
-
Dapeng Wu, QoS Provisioning in Wireless Networks
-
Joseph E. Bowe, George S. Oreku, Quality of Service in Wireless Sensor Networks Oct 2013.
-
E. Crawley, R. Nair, B. Raja gopalan and H. SanDisk, A Framework for QoS-Based Routing in the Internet, RFC2386, Internet Eng. Task Force, 1997.
-
fttp://fttp.ietf.org/internet-draftsdraft-ietf-qosr-framework-02.txt.
-
-
Muhammad Asif, Sha Ullah Khan, Rashid Ahmad, Quality of Service of Routing Protocols in Wireless Sensor Networks: A Review. Jan 2017.
-
S. Blake, D. Black, M. Carlson, E. Davies, Z. Wang, W. Weiss, An architecture for dierentiated services, IETF RFC 2475, (1998).
-
Y. Wang , X. Liu , J. Yin, Requirements of Quality of Service in Wireless Sensor Network, Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies , Morne, Mauritius, (2006).
-
D. Chen and P. K. Varshney, QoS Support in Wireless Sensor Network: A Survey, Proceedings of the 2004 International Conference on Wireless Networks (ICWN2004), Las Vegas, Nevada, USA, (2004).
-
S. Meguerdichian, F. Koushanfar, M .Potkonjak, M. B. Srivastava, Coverage Problems in Wireless Ad-hoc Sensor Networks,in Proceedings of IEEE Inform, pp. 1380-1387,(2001).
-
B. Bhuyan, H. Kumar D. Sarma, N. Sarma, A. Kar, R. Mall, Quality of Service (QoS) Provisions in Wireless Sensor Networks and Related Challenges, Wireless Sensor Network, Vol 2010,No 2,pp 861-868, (2010).
-
J. Balen, D. Zagar and G. Martinovic, Quality of Service in Wireless Sensor Networks, A Survey and Related Patents Computer Science, Vol 4, pp 188-202,(2011).
-
B. Bhuyan, H. Kumar D. Sarma, N. Sarma, A. Kar, R. Mall, Quality of Service (QoS) Provisions in Wireless Sensor Networks and Related Challenges,Wireless Sensor Network, Vol 2010,No 2,pp 861-868, (2010).
-
Krzysztof Wojtanowicz, Wojciech Zabierowski, Andrzej Napieralski, Quality of Service in Wireless Networks, Feb 2009.
-
S. R. Biradar, Hiren H D Sarma, Analysis QoS Parameters for Mobile Ad-Hoc Network Routing Protocols: Under Group Mobility Model, 2011.
-
Elizabeth M. Royer, University of California, Santa Barbara C-K Toh, Georgia Institute of Technology, "A Review of Current Routing Protocols for Ad Hoc Mobile Wireless Networks," IEEE Personal Communications, April 1999.
-
C. E. Perkins and E. M. Royer, Ad Hoc On-demand Distance Vector Routing, Proc. 2nd IEEE Wksp. Mobile Comp. Sys. and Apps., Feb. 1999.
-
C. E. Perkins, E. M. Royer, S. R. Das, and M. K. Marina, "Performance Comparison of Two On-Demand Routing Protocols for Ad Hoc Networks," IEEE Personal Communications, February 2001, pp. 16-28.
-
J. Broch, D. A. Maltz, D. B. Johnson, Y-C. Hu, and J. Jetcheva. A performance comparison of multi-hop wireless ad hoc network routing protocols. In Proceedings of the 4th International Conference on Mobile Computing and Networking (ACM MOBICOM98).
-
Siddlingappagoud, Biradar,Prahlad Kulkami, Enhancing the Quality of Service using M-AODV Protocol in MANETs, 2015.
-
Dr. C. Chandrasekar,K. Sivakumar, Traffic Avoidance in VANET using ACO,2016.