QoS for Energy Efficient Routing Protocols in Wireless Mobile Adhoc Network using Qualnet Simulator 6.1

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Research Article International Journal of Current Engineering and Technology E-ISSN 2277 4106, P-ISSN 2347-5161 2014 INPRESSCO, All Rights Reserved Available at http://inpressco.com/category/ijcet QoS for Energy Efficient Routing Protocols in Wireless Mobile Adhoc Network using Qualnet Simulator 6.1 Saurabh Chandra Ȧ*, Ashish Xavier Das Ȧ and A.K. Jaiswal Ȧ Ȧ Dept. of ECE, SHIATS, Allahabad, India Accepted 16 May 2014, Available online 01 June 2014, Vol.4, No.3 (June 2014) Abstract In the current era of wireless network, popularity of MANET is increasing at a very fast pace. Reason for this increased attention is the wide range of multimedia applications running in an infrastructure less environment. Because of the infrastructure less environment, limited power and dynamic topology is used. It becomes difficult to provide an energy efficient environment in MANET. This type of network, operating as a stand-alone network or with one or multiple points of attachment to cellular networks or the Internet, paves the way for numerous new and exciting applications. In multihop wireless ad-hoc networks, designing energy efficient routing protocols is critical since nodes are power-constrained. Many routing protocols have been proposed so far. QoS of these protocols has been tested under CBR traffic with varying network condition. In this paper we proposed number of simulation in order to evaluate the quality of service of three routing protocols,, under CBR traffic in terms of throughput, end-to-delay, jitter, total data received and packet delivery ratio in network scenarios. The network scenarios are considered effect of varying node and effect of constant pause time. The simulations are carried out in Qualnet simulator 6.1. Keywords: MANET,,,, Qualnet Simulator 6.1. 1. Introduction 1 The 1990s have seen a rapid growth of research interests in mobile ad hoc networking. The infrastructure less and the dynamic nature of these networks demands new set of networking strategies to be implemented in order to provide efficient end-to-end communication. These, along with the diverse application of these networks in many different scenarios such as battlefield and disaster recovery, have seen MANETs being researched by many different organisations and institutes. MANETs have become very popular due to growing popularity of mobile device. A MANET (Basagni, et al, 2003) is a collection of wireless mobile nodes that communicate with each other using multi-hop wireless links (Qayyum, et al, 2000) without predetermined topology or central control. MANETs employ the traditional TCP/IP structure to provide end-to-end communication between nodes. However, due to their mobility and the limited resource in wireless networks, each layer in the TCP/IP model requires redefinition or modifications to function efficiently in MANETs. MANET can be characterized as having dynamic topologies; bandwidth constrained, variable capacity links, energy constrained and limited security. In MANET each and every mobile node is assumed to be moving with more or less relative speed in *Corresponding author Saurabh Chandra is a M.Tech student; Ashish Xavier Das is working as Asst Prof and A.K. Jaiswal as HOD and Prof arbitrary direction. So routing in MANET has become one of the challenging issues. Routing in the MANET (Royer, et al, 1999) is a challenging task ( Corson, et al, 1999) and has received a tremendous amount of attention from researches. This has led to development of many different routing protocols for MANETs, and each author of each proposed protocol argues that the strategy proposed provides an improvement over a number of different strategies considered in the literature for a given network scenario. Therefore, it is quite difficult to determine which protocols may perform best under a number of different network scenarios, such as increasing node density and traffic. Other challenging task is supporting mobility in MANETs. The mobility of nodes in MANETs increases the complexity of routing protocols and flexible connections. Therefore, it is quite difficult to determine which protocols may perform better under a number of different scenarios such as increasing node density and mobility. This network works in situation where ordinary wired network is feasible like rural areas, third world war countries or disaster areas. Performance of MANET depends on the routing protocol, battery consumption by the nodes. There are various Qualities of service parameters which affect the performance like bandwidth delay, jitter, throughput etc. In this paper, we have analysed the quality of service of three popular routing protocols: one proactive (), one reactive () and one hybrid (), when transmitting multimedia data in a multi-hop network. The 1681 International Journal of Current Engineering and Technology, Vol.4, No.3 (June 2014)

Saurabh Chandra et al QoS for Energy Efficient Routing Protocols in IEEE 802.11 Wireless Mobile Adhoc Network using Qualnet Simulator 6.1 Table 1 Comparison of Routing Protocols Parameters Proactive protocol Hybrid protocol Reactive protocol Routing Flat/Hierarchical Hierarchical Flat Philosophy Routing Table driven Combination of both On demand Scheme Latency Low due to routing tables Inside zone low outside High due to flooding similar to Reactive protocols Routing Overhead High Medium Low Storage Capacity High,due to the routing tables Depends on the size of zone, inside the zone sometimes Low generally depends upon the number of routes high as proactive protocol Mobility Support Periodical updates Combination of both Route maintenance paper is organized as follows: In section 2, we provide an overview of a wide range of routing protocols (Royer, et al, 1999) proposed. Section 3, comparison among the different types of routing protocols is shown in Table1.Section 4, performance evaluation metrics of all routing protocols. Section 5 presents simulation environment including scenario specifications Table 2. Section 5 presents analysis & result and discussion. Finally we conclude the paper and suggest which protocols may perform best in variable node and networks in second last section. 2. MANET Routing Protocols 2.1 Protocol The Optimized Link State Routing () protocol is an optimization of the classical link state algorithm, adapted to the requirements of a MANET. Because of their quick convergence, link state algorithms are somewhat less prone to routing loops than distance vector algorithms, but they require more CPU power and memory. They can be more expensive to implement and support and are generally more scalable. (Floriano, et al, 2008) is a proactive routing protocol optimized for mobile ad-hoc network. It has the advantage of having routes immediately available when needed. It inherits the stability of link state algorithm adapted to the requirement of MANET. The key concept used in is that of multipoint relays (MPRs). MPRs are selected nodes which forward broadcast messages during the flooding process. This technique substantially reduces the message overhead as compared to a classical flooding mechanism (where every node retransmits each message received). This way a mobile host can reduce battery consumption. Secondly, minimizes flooding of this control traffic by using only the selected nodes, called MPRs, to retransmit control message. This technique significantly reduces the message overhead where every node retransmits each message received. Each node selects its MPRs from the set of its neighbour saved in the neighbour list. may optimize the reactivity to topological changes by reducing the maximum time interval for periodic control message transmission. The protocol is particularly suited for large and dense network, as optimization is done by using MPRs which work well in this context and does not depend on any central entity. The protocol does not require reliable transmission of control message. Each node sends its control messages periodically. Each control message contains a sequence number which is incremented for each message. Thus the recipient of a control message can if required, easily identify which information is more recent even if messages have been re-ordered while in transmission 2.2 Protocol Dynamic Source Routing () (Sheltami, et al, 2003) is designed specifically for use in multihop wireless ad hoc network. This protocol is composed of two mechanisms of route discovery and Route maintenance, which work together to allow nodes to discover and maintain source routes to arbitrary destinations in the adhoc network. Route discovery takes place when source already does not know route to destination. Route cache is also maintained where all learned routes to any given node in the network exist. When a source sends a packet to destination, it obtains a route from route cache of previously learned routes. If no route is found then route REQUEST message is broadcasted to initiate route discovery protocol. When a node receives a route REQUEST message it returns route REPLY message to the initiator, if it is the target of the request. Simply when a node receives a route request it searches the route cache where all routes are stored. If not found then route REQUEST is broadcasted and flooded over the network until the destination node is found. In fact there is a aggressive use of source routing and caching in. No special mechanism is needed to detect the routing loops. Each route REQUEST message contains a hop limit that may be used to limit the number of intermediate nodes allowed to forward that copy of the route REQUEST. As the REQUEST is forwarded limit is decremented and packet is discarded if limit reaches to zero. Another mechanism of expanding ring search for the target where a node can initiate another route REQUEST with hop limit of one. For each route REQUEST no route REPLY is received. can double the hop limit as previously attempted. 2.3 Protocol Zone routing protocol (Haas, et al, 2002) is a hybrid of proactive and reactive protocol. By using it we can take advantage of both table driven and on demand driven 1682 International Journal of Current Engineering and Technology, Vol.4, No.3 (June 2014)

Throughput (bits/second) Saurabh Chandra et al QoS for Energy Efficient Routing Protocols in IEEE 802.11 Wireless Mobile Adhoc Network using Qualnet Simulator 6.1 protocol according to the application. The nodes of a zone are divided into peripheral nodes and interior nodes. Every node in the network has a zone associated to it. The zone of a node is defined as the collection of nodes whose minimum distance from the node is not greater than the radius of the node. The minimum distance is defined in terms of number of hops from that node. reduces the proactive scope to a zone cantered on each node. It uses proactive protocols for finding zone neighbours (instantly sending hello messages) as well as reactive protocols for routing purposes between different zones (a route is only established if needed). has a flat view over the network. In this way, the organizational overhead related to hierarchical protocols can be avoided. can be categorized as a flat Protocol because the zones overlap. Hence, optimal routes can be detected and network congestion can be reduced. consists of three parts: IARP (Haas, et al, 2002) proactive part, IERP (Haas, et al, 2002) reactive part, BRP (Haas, et al, 2002) used with IERP to reduce the query traffic. 3. Comparison of Protocols The comparison among the different types of routing protocols (Jameli, et al, 1999) is shown in Table 1. 4. Performance Evaluation Metrics Evaluating the performance of any routing protocol is one of the challenging issues and is related to the metrics that are used for evaluation. In this work, we based our evaluation on quantitative metrics. Quantitative metrics include statistical data, which provide the tools to assess the performance of the routing protocols. The following five performance metrics have been chosen to compare the four routing protocols. 4.1 Throughput This is the parameter related to the channel capacity. It is defined as the maximum possible delivery of the messages over the channel. It is usually measured in bits per second. 4.2 Average End-to-End Delay 4.5 Packet Delivery Ratio (PDR) It is defined as the ratio of incoming data packets to the received data packets. 5. Simulation Environment and Analysis The objective of the simulation is to evaluate the performance of four routing protocols (,, ) based on various performance metrics for MANET. Simulations were carried out using Qualnet Simulator 6.1 In simulation we generate scenario files considering the area of m 2 and keeping constant pause time (30sec). Table 2 Scenario Specifications Simulation Area Node Movement Model Random Waypoint Mobility Traffic Types CBR Source Number of nodes 20,40,60,80,100 Simulation Time 105 sec Pause Time 30 sec Protocols Studied., Rate of Packet Generation 1 packet/sec Mobility of nodes Min. speed=1 m/sec, Max. speed=110 m/sec MAC Protocol IEEE 802.11 Packet Size 512 Bytes Simulator Qualnet 6.1 6. Result and discussion 6.1Throughput With the varying no. of nodes (with constant mobility) the throughput is analysed. It is observed that performs better than and. performs better than. Here the performance of protocol is weaker in case of throughput with varying nodes. Throughput (bits/second) It can be defined as average delay a data packet takes to travel from source to destination. 4.3 Jitter It is defined as the difference in end-to-end delay between selected packets in a single connection. Any lost packets are ignored from this metric. 4.4 Total Data Received TDR performance is the total data received at the destination in bytes. Fig. 1 Average Throughput in bits/sec with varying nodes. 6.2 End to End Delay When a packet is transmitted from source to destination it takes time to reach. This time includes different delays as 1683 International Journal of Current Engineering and Technology, Vol.4, No.3 (June 2014)

Total Data Received (bytes) Average Jitter (seconds) Average End-to-End Delay (sec) Packet Delivery Ratio(%) Saurabh Chandra et al QoS for Energy Efficient Routing Protocols in IEEE 802.11 Wireless Mobile Adhoc Network using Qualnet Simulator 6.1 described in its definition above. In this analysis it is observed as expected the delays are increasing as the traffic load and no. of nodes are increasing. The average end to end delay very high in than and. The has least end to end delay. 6.5 Packet Delivery Ratio PDR performance is analysed. It is observed that, routing protocol performs better than and when no. of nodes increases. Average End-to-End Delay (sec) Packet Delivery Ratio(%) Fig. 2 Average End-To-End Delay in sec with varying nodes 6.3 Jitter Jitter, the variation of packet arrival time, is an important metrics for any routing protocol. In this analysis with varying number of nodes it is observed has largest jitter and least for. The performance shown in figure: Fig.4 Average Jitter in sec with varying nodes 6.4 Total Data Received Average Jitter (seconds) TDR performance is analysed. It is observed that routing protocol performs better than and when no. of nodes increases. Total Data Received (bytes) Fig. 5 Total Data Received with varying nodes Fig. 5 Packet Delivery Ratio with varying nodes. Conclusion In this paper, we studied and analysed the performance of different routing protocols in realistic condition. The focus was put on the QoS of metrics with constant pause time, varying node density and mobility values. 1) performs better than and in terms of throughput, total data received and packet delivery ratio. 2) performs better than in terms of throughput, end to end delay. 3) shows better in jitter than both. Although is least in all cases. 4) Overall the performance of protocol is better than and with varying nodes. It is concluded that is energy efficient and QoS of this protocol is better than and. References Basagni S., Conti M., Giordano S., and Stojmenovic I. (2003),Ad Hoc Networking, IEEE Press Wiley, New York. A. Qayyum, L. Viennot, and A. Laouiti, (2000),Multipoint relaying: An efficient technique for flooding in mobile wireless networks. Technical Report RR-3898, INRIA. Royer, E., and Toh, C. (1999),A Review of Current Routing Protocols for Ad Hoc Mobile Wireless Networks, IEEE Personal Communications, 6(2), pp. 46 55. Corson, S., and Macker, J. (1999),Mobile Ad hoc Networking (MANET): Routing Protocol Performance Issues and Evaluation Considerations. RFC 2501, IETF. Floriano De Rango, Marco Fotino, Salvatore Marano (2008), EE-: Energy Efficient Routing Protocol for Mobile Ad-Hoc Networks, IEEE, 978-1-4244-2677-5/08 Tarek Sheltami and Hussein Mouftah (2003), Comparative study of on demand and Cluster Based Routing protocols in MANETs, IEEE Conference, pp. 291-295. Z. J. Haas, M. R. Pearlman, and P. Samar (2002),The zone routing protocol () for adhoc networks, Draft-ietf-manet-zone-zrp-04.txt, Internet-Draft, IETF. Z. J. Haas, M. R. Pearlman, and P. Samar (2002), The intrazone routing protocol (IARP) for ad hoc networks, Draft-ietf-manet-zone-ierp- 02.txt, Internet-Draft, IETF,. Z. J. Haas, M. R. Pearlman, and P. Samar (2002), The Interzone routing protocol (IERP) for ad hoc networks, Draft-ietf-manet-zone-ierp- 02.txt, Internet-Draft, IETF. 1684 International Journal of Current Engineering and Technology, Vol.4, No.3 (June 2014)

Saurabh Chandra et al QoS for Energy Efficient Routing Protocols in IEEE 802.11 Wireless Mobile Adhoc Network using Qualnet Simulator 6.1 Z. J. Haas, M. R. Pearlman, and P. Samar (2002), The bordercast resolution protocol (BRP) for ad hoc networks, Draft-ietf-manet-zonebrp-02.txt, Internet-Draft, IETF. Abdellah Jameli, Najib Naja and Driss El Ouadgiri (1999), Comparative Analysis of Ad Hoc Networks Routing Protocols For Multimedia Streaming, IEEE. Er. Saurabh Chandra obtained B.Tech Degree in Electronics and Communication Engineering from GNIT, Greater Noida. He is perusing M.Tech in Wireless Communication Engineering from the Department of Electronics and Communication Engineering SHIATS, Allahabad. His research is focused on Wireless Adhoc Network and Wireless Sensor Network. Mobile: +91-9044552688 Prof. A.K. Jaiswal working as Prof. and Head of ECE Dept. SHIATS-Allahabad. He obtained M.Sc. (Tech) in Electronic & Radio Engg. From J. K. Institute of Technology Allahabad University in 1967. He guided various projects & research at undergraduate & postgraduate level. He has more than 35 years Industrial, research & Teaching experience and actively involved in research and publications. His area of interest includes Optical Networks and satellite communication. His achievement includes receipt of bronze shield (national award) for developing miniature indicator/controller for process industries. He also worked as investigator for developing and promoting optical fibre based systems in a project sponsored by DOE, govt. of India and UNDP. Er. Ashish Xavier Das is working as an Assistant Professor in the Department of Electronics and Communication Engineering SHIATS Allahabad. He received his B.E degree from AAIDU, and M.Tech from SHIATS Allahabad. His research is focus on Minimization of energy in WSN. Mobile: +91-9005155349 1685 International Journal of Current Engineering and Technology, Vol.4, No.3 (June 2014)