Fuzzy-Based Routing Protocol to Increase Throughput in Mobile Ad Hoc Networks

Tabatabaei, Shayesteh; Teshnehlab, Mohammad; Mirabedini, Seyed Javad

doi:10.1007/s11277-015-2706-6

Cited by 16 publications

(7 citation statements)

References 17 publications

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“…In paper [11] the author proposed a new fuzzy logic-based routing protocol namely FBORP to select the optimal path based on the bandwidth, mobility and the residual energy of the nodes. It is proven that the protocol performs well in a high mobility scenario when compared to the benchmark AODV routing protocol.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Logic Based Path Stability Forecasting Scheme for Improving Data Dissemination in MANETs

C.,

2020

IJEAT

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Path stability of the mobile nodes in MANET plays a vital role in effective data dissemination as it depends on factors such as mobility, energy, signal strength. Several studies reveal that the prediction of path stability might provide solutions thereby routing performance can be increased. In most of the protocols route selection is based on metrics namely hop count, energy, etc. The metric namely mobility factor “MF” is used in some of the protocols. These protocols include nodes with less energy or nodes with high mobility which results in loss of path in a short period of time. Since it preserves the neighbor’s history, more control overhead and maintenance complexity exist. Hence, a new metric namely Active Interactive new Neighbor Rate (AINR) has been considered for optimum path selection. In scenarios of path loss, there is an immediate need for alternative paths for continuous data transfer. From literature it is evident that fuzzy logic is more significant in exploring different possible states under path stability determination. Hence a new prediction mechanism based on fuzzy logic has been proposed by considering the Residual Energy (RE), Hop count (Hop) and proposed metric Active Interactive new Neighbor Rate (AINR) as the factors for the prediction of the optimal path. This prediction mechanism is leveraged in MANET scenarios where alternate paths should be available on hand in situations such as battlefield and natural disaster. From the simulation, it has been proved that fuzzy logic prediction model provides better results in terms of various performance metrics such as Throughput, Packet delivery ratio, End-to-end delay, Energy consumption and routing overhead than the existing protocols.

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Section: Related Workmentioning

confidence: 99%

Fuzzy Logic Based Path Stability Forecasting Scheme for Improving Data Dissemination in MANETs

C.,

2020

IJEAT

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“…But the two parameters routing overhead as well as end-to-end delay had very less refinement. S. Tabatabaei et al [3] proposed a fuzzy relied on demand routing protocol for MANETs, where the proposed system was working on sustained energies of the different nodes on the respective routes. Two parameters bandwidth as well as the mobility of nodes was utilized to consider a valid route to increase the effectiveness of the system.…”

Section: Pawandeep Kaur Hemant Sethimentioning

confidence: 99%

Energy and Time Efficient Route Discovery in Manet using Modified Aodv Routing Protocol

Kaur*,

Sethi

2020

IJITEE

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In MANET usually nodes interact with each other either directly or by relaying nodes depending on whether nodes present are in vicinity of each other or not respectively. There are different routing protocols which work on the principle either of demand or not. AODV is a reactive routing protocol which performs on the strategy of shortest hop in its vicinity. Sometimes there is a route failure in network then some message is sent to the node if reply is not received with in time frame then for sure path is broken. So it is wastage of time and energy of all the participating nodes. Main reason behind the node failure is the sustaining energy of the participating nodes in the communication. Since nodes which have very less energy gets consumed when these try to send either data or reply to and from the nodes. Sometimes a node has minimum energy to send data. As soon as it sends data it is switched off and does not send delivery successful reply to the originating network. So in this case network thinks path is broken so message is again sent to another path. So here it again there is loss of energy of other communicating node and also wastage of time to send data to nodes. In this research work, an energy and time efficient approach will be proposed which will save time as well as energy of remaining nodes which further utilizes all the known linked paths simultaneously for transmitting data with the help of AODV routing protocol. Different simulation parameters are used to check the accuracy of approach. Simulation is performed on NS-3. There will be 50 to 100 nodes in the topology. Performance metrics like throughput, energy deviation, packet lost, packet delivery ratio and other will be used for performance checking with respect to standard AODV routing protocol. This research work provides the improvements to the existing algorithms of communication among network nodes in mobile ad-hoc networks (MANET) to obtain better results.

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“…Tabatabaei et al [14] proposed one routing protocol which is helped to improve system performance based on the fuzzy input variables and also remained energies of the nodes, bandwidth, node mobility to select a stable route. Senthil & Ram [15] selected best path depends on sent, received packets, transmission time and dropped packets were predictable for each path.…”

Section: K Santhi K Thinakaranmentioning

confidence: 99%

Fuzzy Logic Based Raodv Routing Protocol

2019

IJRTE

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Fuzzy Logic system comes as a very efficient and important tool that is used to make intelligent decisions when inadequate data is available. This research work is focused on the enhancement of Fuzzy based RAODV routing protocol. It is very efficient to select the optimal paths for data packet transmission between source and desitnation node and also increse the network life time. Fuzzy Logic control is generally designed on three fuzzy variables of energy, hop count and queue length which is also enhance the rule of Fuzzy logic to improve the lifetime of the network. Optimal paths are traced and selected which is depends on these fuzzy variables, used to improvise and enhance the process of Reverse Ad hoc on Demand Distance Vector (RAODV) routing protocol and also helpful to improve the lifetime of the network. NS2 Simulator are used to analyze the concert of RAODV and Fuzzy based Reverse Ad hoc on demand Distance Vector (FRAODV) routing protocol which is based on packet size and round time of network using the parameters of Packet delivery ratio, energy consumption and end to end delay , performance results shows that FRAODV is more accomplished and improves the lifetime of the network.

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Fuzzy-Based Routing Protocol to Increase Throughput in Mobile Ad Hoc Networks

Cited by 16 publications

References 17 publications

Fuzzy Logic Based Path Stability Forecasting Scheme for Improving Data Dissemination in MANETs

Fuzzy Logic Based Path Stability Forecasting Scheme for Improving Data Dissemination in MANETs

Energy and Time Efficient Route Discovery in Manet using Modified Aodv Routing Protocol

Fuzzy Logic Based Raodv Routing Protocol

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