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Item A Comprehensive Review on Performance of AODV and DSDV Protocol Using Manhattan Grid Mobility Model(IJRET, 2014) Kaur, Amandeep; Mittal, MeenakshiWireless networks have become an epitome of revolution in the communication industry as these have enabled the devices to communicate and access information independent of their location. These networks can be classified into two categories: Infrastructure based and Infrastructure less. Mobile ad hoc networks (MANET) fall under infrastructureless category in which nodes are able to move thereby making the topology of the network highly dynamic. Due to the dynamically changing topology, efficient routing mechanisms needed to be developed, which led to the foundations of various mobile ad hoc routing protocols. There are a number of mobile ad hoc routing protocols proposed to serve different purposes like security and transmission efficiency. These protocols are divided into two categories: Table based and Demand based. Through this work, table based traditional routing protocol DSDV and demand based routing protocol AODV have been assessed through simulation using Manhattan Grid mobility model. Comprehensive analysis was carried out to analyze which protocol performs better in the assumed scenarios. The performance metrics evaluated for the two protocols are Throughput, Average End to End delay, Routing Overhead and Packet Delivery RatioItem Performance evaluation of manet routing protocols dsdv, tora enhanced tora(Central University of Punjab, 2014) Kaur, Amandeep; MeenakshiWireless Networking has become the phrase du jour these days because of an attractive number of benefits it offers to the end users, by enabling them to access and share a wide pool of resources and information across the globe. Mobile ad hoc networks (MANETs) are a kind of infrastructure less wireless networks in which all the nodes act as peers and themselves configure the network. Mobile ad hoc networks are an open area of research because of its applicability in a number of areas like tactical networks, emergency services and education. One of the major challenges in networking is the efficient, accurate, reliable, secure and immediate delivery of data from source to destination. Therefore, the efficient routing of data across the mobile ad hoc network is a major concern of researchers all over the world. Several routing protocols have been developed to send data efficiently across mobile ad hoc networks. These protocols have been divided into three categories- Proactive, Reactive and Hybrid. The performance evaluation of these protocols has been going on since a long time. Most of the current research focuses on the pause times, simulation times and network size to measure the performance of various mobile ad hoc network routing protocols. A very few work has been done on the performance analysis of protocols by varying the underlying mobility models and traffic patterns. This dissertation work is focused on the improvement of the poor performance of TORA with the rise in number of traffic connections. This behavior has been credited to the link sensing mechanism of Internet MANET Encapsulation protocol (IMEP). IMEP is a multi-purpose network-layer protocol that supports the operation of many routing protocols including TORA. It provides mechanism for sensing the status of links in TORA. This link sensing mechanism has been investigated and proposed modification by K. H. Lim and A. Datta has been implemented to observe improvement in the overall performance of Enhanced-TORA protocol in comparison with original TORA. iv Through this research, investigations have been made into the behavior of DSDV, and TORA mobile ad hoc routing protocols by varying the underlying mobility models (Random Waypoint, Random Direction and Manhattan Grid model) and Traffic patterns (FTP, TELNET, HTTP). The metrics used to analyze the performance are Throughput, Average End to End delay, Routing overhead, Packet Delivery Ratio and Packet Loss. This research draws an analysis whether under which mobility model and traffic pattern combination these protocols give the best performance. Results show that DSDV gives best performance under Manhattan Grid Mobility model and FTP traffic pattern. Whereas, TORA and Enhanced-TORA give best performance under Random Direction Mobility model and FTP traffic. The performance of Enhanced-TORA is then compared with original TORA using 10 traffic connections under Random Direction mobility model and FTP Traffic and it was observed that Enhanced-TORA outperformed original TORA thereby eliminating the problem of performance degradation with rise in number of connectionsItem Mobility model based performance analysis of DSDV mobile ad hoc routing protocol(Institute of Electrical and Electronics Engineers Inc., 2014) Kaur, AmandeepWireless Networking has become the phrase du jour these days because of an attractive number of benefits it offers to the end users, by enabling them to access a wide pool of resources and information irrespective of the physical location of the devices used by them across the globe. Mobile ad hoc networks are a kind of infrastructure less wireless networks in which all the nodes act as peers and share information as well as resources. Mobile ad hoc networks are an open area of research since these have not been deployed widely yet. Every research in the field of networking focuses on the efficient, accurate, reliable, secure and immediate delivery of data. Therefore, the routing of data across the mobile ad hoc network is a major concern of researchers all over the world. Several routing protocols have been proposed and implemented to send data efficiently across mobile ad hoc networks. The performance evaluation of these protocols has been going on since a long time. In most of the studies, the focus has been on the variations in pause times and network size to measure the performance of various mobile ad hoc network routing protocols. A very few work has been done on the performance analysis of protocols by varying the underlying mobility models. Through this paper, investigations have been made into the behavior of DSDV mobile ad hoc routing protocol by varying the underlying mobility models. The metrics used to analyze the performance are Throughput, Average End to End delay, Routing overhead and Packet Delivery Ratio. ? 2014 IEEE.