Performance Evaluation of Ad-Hoc On-Demand Distance Vector and Optimized Link State Routing Protocols in Mobile Ad-Hoc Networks

Jubair, Mohammed Ahmed; Mostafa, Salama A.; Gunasekaran, Saraswathy Shamini

doi:10.18517/ijaseit.8.4.5028

Cited by 19 publications

(14 citation statements)

References 18 publications

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“…Each hop crossed by the routing message during the transportation is considered as one transmission. The following equation has used to calculate NRL [4,27].…”

Section: Performance Metricsmentioning

confidence: 99%

“…A MANET is a collection of wireless nodes that can dynamically form a network to exchange information without using any pre-existing fixed network infrastructure [1][2][3]. Each node in MANET uses its transmission range to send and receive packets [4,5]. Routing paths in mobile ad-hoc networks potentially contain multiple hops and some nodes are unable to communicate directly with other remote nodes because the transmission range of each node in the MANET is limited.…”

Section: Introductionmentioning

confidence: 99%

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The effect of network size and density to the choice of zone radius in ZRP

Haglan

Yussof

Al-Ani

et al. 2020

IJEECS

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<span>Mobile Ad hoc Network (MANET) is a network that consists of several nodes that connect without using a permanent infrastructure. Each node in MANET moves inside and outside of the network freely and randomly. The free and random movements of nodes may cause the topology of the network to change constantly. Therefore, the task of finding routes between nodes is a big challenge. Routing protocols in MANET can be divided into three categories, namely, proactive, reactive and hybrid routing protocols. Hybrid routing protocols such as the Zone Routing Protocol (ZRP) combines the advantages of both proactive and reactive routing protocols by dividing the network area into many overlapping zones. Data transmission to nodes within the zone is done using a proactive routing mechanism, while data transmission to nodes outside the zone is done using a reactive routing mechanism. The zone radius in ZRP determines how much proactive and reactive routing is used, and therefore plays a key role in determining the performance of the network. In this paper, the performance of the ZRP routing protocol is evaluated using the NS2.33 network simulator. The focus of the research is to evaluate the ZRP performance concerning the network size and density to identify an optimum ZRP zone size that will provide good performance. The performance is evaluated by using four performance metrics which are normalized routing load, average end-to-end delay, throughput, and packet delivery fraction. The results show that ZRP produces the best performance when the zone radius size is equal to two hops.</span>

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“…Each hop crossed by the routing message during the transportation is considered as one transmission. The following equation has used to calculate NRL [4,27].…”

Section: Performance Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The effect of network size and density to the choice of zone radius in ZRP

Haglan

Yussof

Al-Ani

et al. 2020

IJEECS

View full text Add to dashboard Cite

show abstract

“…With these capacities, MANET hubs straightforwardly or by implication converse with one another over a radio transmission range. The irregular (or random) versatility attribute of the system and radio transmission range between the hubs significantly alter the system topology, time plan as well as areas of the remote gadgets [15][16][17]. A basic case of the MANET topology is as in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the impact of the number of nodes on the performance of the routing protocols in manet environment

et al. 2021

Self Cite

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Mobile Ad-hoc Networks (MANETs) are independent systems that can work without the requirement for unified controls, pre-setup to the paths/routes or advance communication structures. The nodes/hubs of a MANET are independently controlled, which permit them to behave unreservedly in a randomized way inside the MANET. The hubs can leave their MANET and join different MANETs whenever the need arises. These attributes, in any case, may contrarily influence the performance of the routing conventions (or protocols) and the general topology of the systems. Along these lines, MANETs include uniquely planned routing conventions that responsively as well as proactively carry out the routing. This paper assesses and looks at the effectiveness (or performance) of five directing conventions which are AOMDV, DSDV, AODV, DSR and OLSR in a MANET domain. The research incorporates executing a simulating environment to look at the operation of the routing conventions dependent on the variable number of hubs. Three evaluation indices are utilized: Throughput (TH), Packet Delivery Ratio (PDR), and End-to-End delay (E2E). The assessment outcomes indicate that the AODV beats other conventions in the majority of the simulated scenarios.

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“…To locate a path from the source to the destination, the standard on-demand ad hoc routing algorithms has initiated a complete route discovery process. [9][10][11][12] In literature, there are many geographic routing protocols proposed, and it has been revealed that substantial performance enhancements are produce by them when allied with standard on-demand routing algorithms. For scalable routing, an ideal solution is provided by the geographic routing, which includes a location service and a strategy of geographic forwarding.…”

Section: Introductionmentioning

confidence: 99%

Geographic routing with hybrid firefly algorithm and galactic swarm optimization for efficient ‘void’ handling in mobile ad hoc networks

Kaliyamurthi

Anandhakumar

2020

Int J Communication

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Summary Geographic routing in mobile ad hoc network (MANET) has gained much attention even though it fails to find a route when a node meets a void zone (hole). Therefore, an efficient approach is required to avoid the void issues and to effectively transfer the data packets if a path is available between the source and destination nodes. For such, a hybrid evolutionary algorithm is introduced with geographical routing protocol (GRP) for avoiding the void, which selects the shortest route for routing from the source to the destination by combining firefly (FF) algorithm and galactic swarm optimization (HFFGSO). This proposed algorithm exploits the strengths of both the FF algorithm and galactic swarm mechanisms. In this paper, the cross‐layer design approach is implemented, which contains data link and network layer. The proposed hybrid FFGSO‐GRP algorithm improves the routing process within these layers. The implementation process for this proposed technique is carried out in NS2 simulator. From the simulation results, it is observed that our hybrid protocol when compared with the existing approaches proves its significance in terms of packet delivery ratio (PDR), delay, throughput, energy efficiency, power consumption, routing overhead and hop count.

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Performance Evaluation of Ad-Hoc On-Demand Distance Vector and Optimized Link State Routing Protocols in Mobile Ad-Hoc Networks

Cited by 19 publications

References 18 publications

The effect of network size and density to the choice of zone radius in ZRP

The effect of network size and density to the choice of zone radius in ZRP

Analyzing the impact of the number of nodes on the performance of the routing protocols in manet environment

Geographic routing with hybrid firefly algorithm and galactic swarm optimization for efficient ‘void’ handling in mobile ad hoc networks

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