Performance Analysis of Efficient Position-Based Opportunistic Routing for MANET

Mobile Ad hoc Networks (MANET) comprises of self-organizing autonomous mobile nodes. MANETs are open and decentralized. Therefore they are vulnerable to malicious entities. MANETs are multi-hop wireless network where all nodes supportively maintain network connectivity without a centralized infrastructure. Since MANETs are infrastructure less and independent, the secure communication is the main issue. Therefore they are vulnerable to malicious entities. Here the location identity and traffic can be traced out by an outside observer. Anonymity means secure communications by hiding node identities and preventing traffic analysis attacks by outside observers. This paper proposes Position based Anonymous Routing Scheme in MANETs (PARS).Here the routing is based on Greedy Perimeter Stateless Routing Protocol. The objective is an anonymous routing protocol for the network. The proposed one is a zone based anonymous GPSR based protocol that can provide source, destination and route anonymity. Performance of the proposed system is compared with that of GPSR and AODV using Network Simulator. Index Terms: Anonymous routing, position-based routing, random forwarder, zone partition. I. Introduction Mobile Ad hoc Networks are collection of independent mobile nodes that can communicate by radio waves. It is an infrastructure less self-organizing network. The nodes that are in radio range can communicate by single hop or by multi hop with the help of intermediate nodes. The network is open and decentralized and fully distributed. So they are perfect choice for communication and information sharing. MANETs are susceptible to malicious entities that aim to alter and analyzed the traffic analysis by communication eaves dropping or attacking routing protocols. MANETs are characterized by their distributed operation, multi hop routing, dynamic topology and shared physical medium. Nodes in a MANET are independently free to move in any direction. Due to the lack of a centralized coordinator security is the major concern here. Wireless communication can endure interferences or malicious interceptions; whereas multi-hop communication assumes that each node will perform properly its functions to support network services. Further, self-organization increases the complexity of security management operations as access control, node authentication, secure routing and cryptographic key distribution. There is no fixed infrastructure and the topology is frequently changing due to node mobility or environmental changes. Therefore, it is very hard to maintain a stable and efficient end-to-end route in an ad-hoc network. Each node in MANET is energy constrained. There is verylimited physical security in MANET. The type of attacks can be Active attacks or Passive attacks. The common security issues are Passive attacks which include eaves dropping and information disclosure. Active attacks include Do Sand Data modification. There are other more specific problems with mobile ad hoc network such as vulnerability of channels and nodes, Byzantine black hole and Byzantine wormhole attack. The security issue also includes attacks that may inject erroneous routing information and diverting network traffic thus making routing inefficient. There are many methods to reduce the impact of these attacks, which include a secure routing using public and private key s to get a certification authority and use of digital signatures and prior it rust relationships. Routing is the process of communication from one node to the other host in a network. Routing is the process off or warding packet towards its destination using most efficient path. Routing efficiency is measured in terms of Number of hops, traffic, security, etc. Routing protocols in MANETs are divided as reactive proactive and hybrid. Reactive Protocol maintains the routes in on demand manner. In route discovery phase it floods the route request (RREQ) packets throughout the network. Dynamic source Routing (DSR), ad hoc on- demand distance vector routing (AODV) are some of the examples of reactive protocols. In proactive approach every node in the MANET continuously maintains the complete routing information of the entire network. This is accomplished by flooding network periodically with network status information. Global State Routing (GSR), Hierarchical State Routing (HSR) and Destination Sequenced Distance Vector Routing (DSDV) are some of the examples of proactive

Due to complex and varied environment in the sea and high mobility of nodes, establishing a communication connection between UAVs is a difficult point. In addition, these existing routing protocols designed for mobile ad hoc networks (MANETs) or vehicle ad hoc networks (VANETs) could not play a good role in communication in Flying ad hoc Networks (FANETs). In this paper, we put forward a new form of the Optimized Link-State Routing (OLSR) protocol: it can suit rapid dynamic topology changes and prevent the interruption of communication. The key idea is to make full use of Global Positioning System (GPS) information to calculate node link expiration time and take into account residual energy. The improved multi metric ETX (Expected Transmission Count) simulation in OLSR is carried out in the NS-3 simulator. So, this paper reports the experimental results of routing protocols carried by small flying robots in marine scenes, and these numerical results show that the new protocol is significantly superior to the traditional OLSR in terms of packet transmission rate, End-to-End delay and routing overheads, providing reliable communication in the ocean FANETs.

Ad Hoc Routing with Distributed Ordered Sequences

One of the major issues in current routing protocols for mobile ad hoc networks (MANETs) is to develop a routing protocol that can satisfy different applications’ needs and optimize routing paths to cope with protocol topology changes. Thus, developing a new routing protocol to optimize routing paths based on dynamic topology changes is a challenging task in MANET. Position-based routing protocols are more suitable for high node mobility due to their dependability on local position information rather a global network knowledge. However, most existing position-based routing protocols forward packets greedily which leads to inaccurate location information and results in frequent route failures. Furthermore, incorporating fixed-interval beaconing to distribute local positions introduces high overheads. In this paper an on-demand geo-casting routing scheme which makes use of geographical information to establish cost-effective and reliable paths for packets to reach their destination is proposed. Through the proposed scheme, search area during route discovery process includes only promising search paths, which will alleviate the effect of control message overhead. Moreover, each node is able to independently adjust protocol parameters based on network environment, data traffic conditions, and node’s congestion level. The simulation results show that the proposed protocol outperforms existing routing protocols under different network conditions such as various mobility and traffic loads.

Routing protocol is the primary strategy to design any wireless network. In Mobile AdHoc Network many routing protocols are present for sending packets from source to destination. Routing protocols in Mobile AdHoc Networks (MANETs) are reactive routing protocols, proactive routing protocols, hybrid routing protocols. Performance analysis of different routing protocols is the major step before selecting the routing protocol. Routing protocols perform different under different traffic conditions in different environments. In this paper, the TCP and UDP based performance analysis is carried out in reactive routing protocols and proactive routing protocols with different packet size using NS2 simulator under different traffic conditions. The delay, throughput and packet delivery ratio are common measures parameters used for the comparison of performance of reactive protocols and proactive protocols.

Mobile adhoc network (MANET) is composed of wireless mobile nodes/devices which are moving randomly in infrastructure-less adhoc environments. Topology among mobile nodes is dynamic in nature and keeps on changing regularly. The adhoc environment is open to all the genuine users as well as intruders/attackers. Moreover, the wireless connection between mobile nodes can break at any time on account of mobility of nodes. Also, the mobile notes depend on their battery power, which may go down because of exhaust of battery power. Hence, it is a very complex task to implement energy efficient routing over MANET. While handling energy efficient routing, the optimum utilization of batter power is required. In this research paper, efforts have been carried out to formulate an algorithm for energy efficient routing over MANET. Its performance has been studied through network simulator. The simulations have been carried out by writing self created network scenarios with 20, 60 and 100 mobile nodes. Moreover, analysis of the proposed energy efficient routing protocol has been done with AODV routing protocol by using various performance evaluation metrics viz. packet delivery ratio, normalized routing load, average end to end delay, packet loss, throughput, average energy consumed and average energy left. It was derived from the performance analysis that proposed protocol provides energy efficient routing over MANET and also gives better or almost same performance in comparison to AODV.

Routing in Mobile Ad Hoc Networks (MANETs) is critical. As such, there are many routing protocols that have been proposed over the years. Each routing protocol has weaknesses and strengths. Currently, much of research on routing protocols in MANETs concentrates on literature reviews, performance comparison and proposition of new protocols. However, there has been very little or no attempt to examine the possibility of combining several routing protocols for effective routing in MANET. By highlighting the characteristics, strengths and weaknesses of eight routing protocols selected from the Flat Routing, Hierarchical/hybrid Routing, and Geographical Position Assisted Routing protocols, this article attempts to establish whether different routing protocols in MANETs can be combined for effective routing. A hypothetical situation that uses a combined Zone Routing Protocol (ZRP) and Location-Aided Routing (LAR) for cluster networking is used for the sake of the proposition. This paper refers to such protocol as ZRP-LAR driven. According to the findings from the literature review on MANETs routing protocols, this study establishes that it is possible to combine more than one routing protocols in MANETs to achieve effectiveness in packets transmission.

Background:AMobileAdHocNetwork (MANET) consistsofmany independentnodes that operate over awireless topology with numerous Quality of Service (QoS) requirements. So, a robust routing protocol that also provides QoS parameters to its different range of applications is needed. Various network parameters like node density, node mobility, field size etc. also effects the QoS parameters of MANETs. Methods: The traditional reactive routing protocols do not have any backup route in case of a node failure and hence are not effective for MANETs. Ad Hoc on Demand Distance Vector Backup Routing (AODV BR) protocol performs better than traditional routing protocols but is not effective when the backup route fails. So, to counter this problem, the authors had proposed AODV nth BR that keeps on providing backup routes when multiple nodes fail and hence successfully transfers the data to the destination. The nodes for backup routing are selected based on their distance from the failed node and energy efficiency. Results: In this paper, the performance of AODV nth BR has been compared with AODV, DSR and AODV BR protocol under varying node density (nodes 20, 60,100) and node mobility conditions (5m/s, 20m/s, 50m/s). The values for Packet Delivery Fraction (PDF) for 60 nodes at speed 20m/s in case of AODV nth BR protocol after 6000 rounds is 0.3054. Comparatively, value of AODV BR is 0.2664, AODV is 0.1936 and DSR is 0.1056. QoS performance is measured in terms of end to end delay, packet delivery fraction and lifetime of devices and it has been shown through simulated results that AODV nth BR protocol gives better output than traditional routing protocols. Conclusion: From the simulated results explained in detail in the paper, it has been observed that route after link breakage is found to be best with AODV nth BR protocol and this can be clearly seen in the QoS parameters obtained.Keywords: AODV BR, AODV nth BR, MANETs, Node Density, Node Mobility

Now a day's use of wireless communication is very common and growing faster. There are different types of wireless networks which are designed as per the requirement of data rate and coverage. In this paper scope is limited to widely study and used network called Mobile Ad hoc Network (MANET). MANET is collection of wireless devices which communicate among each other without need of any physical infrastructure as well as centralize administrations. Each mobile node in MANET acts as peer node. The communication is MANET is based on routing methods and hence since from last 2 decade there are number of routing methods designed with objective of improving the Quality of Service (QoS) performance of MANET. As the mobile nodes in MANET are moving randomly with varying mobility speed, this can leads the challenging tasks to achieve the guaranteed QoS performance. Therefore it is required to have efficient routing protocol with load balancing and dynamic behaviour of mobile nodes handling in MANET. In this paper, our goal first is to present the study on different QoS aware routing methods and non-routing methods designed by various research groups for MANET. Second objective is to design novel QoS Aware routing protocol for improving the QoS performance in MANET. Additionally, we are presenting the current research gap based on analysis of all recent methods of QoS improvement. The outcome of this paper is the current research problems and efficient QAODV routing method.

Energy is an important issue in MANET (Mobile Ad hoc Network). Nodes in network are working in presence of limited energy. So, energy efficient routing is needed for reducing energy consumption. Energy efficient routing schemes can greatly reduce energy consumption and extends the lifetime of the networks. Multipath routing protocol (AOMDV) having more than one path, if the first one is break then second provides the proper packet delivery, this causes reduced node energy consumption and the topology of MANETs always changes, due to the high mobility of nodes. This makes it more difficult to find the routes that message packets use when they are routed. The location based routing provides the location information of the destination to route a packet toward. This paper provides comparison and study on reduced energy consumption by using multipath protocol and performance which is evaluated by performance metrics in case of AOMDV and energy based AOMDV. Now here DREAM protocol is used with AOMDV to finding location of mobile nodes but not with energy but here measures their performance with both multipath protocols. I. INTRODUCTION A mobile ad hoc network (MANET) is a dynamic distributed system of mobile formed by means of multi-hop wireless communication without the use of any existing network infrastructure. MANET routing protocols can be classified into two classes. Proactive protocols, they requires the nodes to periodically exchange the table information to update the pre-determine routes between any pair of source destination nodes. Reactive protocols can establish routes only when they require. MANET routing protocols can be classified on the bases of the methods of delivery of data packets from source to destination. Single Path routing protocols learn routes and select a single best route to each destination. These protocols are incapable of load balancing traffic. Multi-path routing protocols learn routes and can select more than one path to a destination. These protocols are better for performing load balancing. This paper provides the comparison between results about Multipath routing in AOMDV (13), AOMDV with location and Energy with AOMDV.

Networks are being used in various areas and the demand of users nowadays has motivated the emergence of the Mobile Ad Hoc Network (MANET). MANET is a dynamic network without fixed infrastructure due to their wireless nature and can be deployed as multi-hop packet networks. It is a wireless network and has dynamic topology due to its node mobility. There are two types of MANET, homogeneous and heterogeneous MANET. An architecture has been designed in previous work to model these two types of MANET. Three scenarios have been defined from this architecture: scenario I (communication entirely within MANET, homogeneous MANET), scenario II (communication between MANET and wireless LAN, heterogeneous MANET) and scenario III (communication between MANET with wireless LAN and wired LAN, heterogeneous MANET). MANET has its own routing protocols which can compromised with frequent route exchange, dynamic topology, bandwidth constraint and multi-hop routing. Ad hoc On Demand Distance Vector (AODV) is one of the routing protocols in MANET. The aim of this research is to assess the effects of different packet size with the implementation of AODV routing protocols in homogeneous and heterogeneous MANET through the simulation method. The three scenarios above have been developed in the OMNeT++ network simulator. The results achieved from the test have been evaluated using the metrics assigned, throughput and packet delivery ratio (PDR). The tests show that the increase of throughput and PDR performance was parallel with the increase of packet size. From the test also, we can conclude that the performance due to the packet size effect in homogeneous MANET is better than in heterogeneous MANET.

Mobile Ad hoc Networks (MANETs) are one of the next generation of computing, will play a very important role in the Internet of Things (IoT), for example in smart environments, IoT interacts with MANETs, becoming even more attractive and economically successful. At the same time, MANETs suffers from various attacks that menace the security and decrease the performances of the network. In this article, we simulate and analyze the impact of Link-spoofing and Replay attacks with Optimized Link State Routing Protocol (OLSR) (RFC 3626) on using ns-3 simulator. In this simulation, we took into consideration the density of the network by the number of nodes included in the network, the speed of the nodes, the mobility model and even we chose the IEEE 802.11ac wireless local-area network (WLAN) standard for the MAC layer, in order to have a simulation, which deals with more general and more real scenarios. To be able to evaluate the impact of the attack on the network, we chose the Quality of Service (QoS) metrics for performance evaluation: Packet delivery rate, Normalized routing load and End-to-End delay.

A mobile ad-hoc network (MANET) consists of a collection of wireless mobile nodes without any fixed network infrastructure. Since the mobile nodes form a constantly changing topology, the design of efficient and scalable routing protocols is a fundamental challenge in MANETs. In the current literature, position-based routing protocols are regarded as having better scalability and lower control overhead than topology-based routing protocols. Since location services are the most critical part of position-based routing protocols, we present a multi-home-region scheme, Distributed Virtual Home Region with Spatial Awareness (DVHR-SA), to improve the performance of location service in this paper. Our scheme adaptively selects different update and query procedures according to the location of a source node. The simulation results show that DVHR-SA shortens the lengths of the update, query and reply paths. Our scheme also reduces the overall network message overhead. Therefore, DVHR-SA is considerably fast and stable.

Mobile ad hoc networks (MANETs) are consists of mobile devices connected wirelessly. Mobile nodes in MANET are applicable of routing functionality, where messages are forwarded in a multi-hop fashion. In such a communication scheme a routing protocol play an important role in the network performances. The wireless connectivity and node mobility in MANET networks contributes in rapid topological changes, which brings the need for a channel aware routing protocol. To overcome this problem, many channel aware routing metrics are proposed in the literature, however these routing metrics are either utilizing the shared bandwidth to measure the link quality, or they implies less awareness to the link quality. This paper proposed a SNR-based routing metric for Dynamic Sequence Distance Vector (DSDV) routing protocol. This paper starts by investigate and compare the performance among common routing protocols in MANET. Secondly a cross layer approach is proposed for the new routing metric. Simulation scenarios are used for the work of the paper. The new metrics is implemented in one of the MANET common routing protocols DSDV module in MONET++. The results show that SNR-based DSVD improves the performance of the MANET in terms of throughput and delay.

Power consumption is a crucial design concern in mobile ad‐hoc networks (MANETs), since the nodes are powered by batteries with limited battery power, whereas the existing dynamic source routing (DSR) protocol does not take the battery power limitation of the MANET nodes into account. The mobile hosts in MANETs are constrained by the battery power for their operation. Hence, the battery power of a node is a precious resource that must be used efficiently in order to avoid early termination of a node or a network. In the MANET, power is one of the major issues, since the devices have limited battery power to execute the tasks. This study proposes a new scheme called efficient power routing DSR (EPRDSR) to improve the existing on‐demand routing protocols by introducing a power efficient scheme in the whole MANET. In the route discovery, the EPRDSR selects the bandwidth and the power constraints are built into the DSR route discovery mechanism. Hence, it enhances the network lifetime and delays the repair and reconstruction of the route. The main goal of EPRDSR is not only to extend the lifetime of each node, but also to prolong the lifetime of each connection.