scholarly journals An Efficient Buffer Overflow Control Scheme to Mitigate Packet Loss in Manets

2020 ◽  
Vol 9 (3) ◽  
pp. 71-76
Keyword(s):  
Packet Loss ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Active Queue Management ◽  
Buffer Overflow ◽  
Delivery Ratio ◽  
Queue Management ◽  
Control Scheme ◽  
Overflow Control ◽  
The Impact

MANET (Mobile Ad hoc Network) is self-configuring, self-organizing, infrastructure-less network of mobile devices connected without wires. Because of the dynamic changes in the network topology, there is no centralized control in ad hoc networks. So, mobile nodes can communicate with each other via intermediate nodes. The buffer size of intermediate nodes plays a significant role to hold packets in the buffer before dropping the newly arrived packets. In MANET, buffer overflow (congestion) occurs in any intermediary nodes when data packets pass through source to destination and incurs packet loss, which causes the performance degradations of a network. Congestion can be reduced by using several Active Queue Management [AQM] techniques. Queue Management Node or “QMN” is an active queue management strategy to control packet drops by assigning space of a buffer node to all its neighbouring nodes dynamically depending upon the total number of packets received from its neighbours. In this scheme, authors did not take into account the impact of collaboration between neighbors of a central node. They only consider the characteristics of nodes, while ignoring the message properties in MANET. And also a new node has to be waiting until it will get enough equal space from the QMN along with other neighbor nodes. During this waiting period, high packet loss can be occurred. So, an efficient buffer overflow control scheme is required to make sure every node has adequate storage space to hold the data once the buffer of the node is near to congestion. In this paper, we proposed a scheme that integrates QMN technique with combinational buffer management (CBM) strategy, which includes both the features of messages and nodes, and transfer the duplicated messages to neighbour node for total utility optimization, rather than deleting them. By using this scheme packet loss can be mitigated in MANETs efficiently. Our simulation results here reveal that, the proposed scheme achieves better performance than other existing schemes in terms of packet delivery ratio, throughput, overhead ratio and end to end delay .

scholarly journals Performance evaluation of MANET routing protocols based on QoS and energy parameters

2020 ◽  
Vol 10 (4) ◽  
pp. 3635
Author(s):  
Salma S. Mohamed ◽  
Abdel-Fatah I. Abdel-Fatah ◽  
Mohamed A. Mohamed
Keyword(s):  
Performance Evaluation ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Network Performance ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Energy Utilization ◽  
Delivery Ratio ◽  
Distance Vector ◽  
The Impact

Routing selection and supporting Quality of Service (QoS) are fundamental problems in Mobile Ad Hoc Network (MANET). Many different protocols have been proposed in the literature and some performance simulations are made to address this challenging task. This paper discusses the performance evaluation and comparison of two typical routing protocols; Ad Hoc On-Demand Distance Vector (AODV) and Destination-Sequenced Distance-Vector (DSDV) based on measuring the power consumption in network with varing of the QoS parameters. In this paper, we have studied and analyzed the impact of variations in QoS parameter combined with the choice of routing protocol, on network performance. The network performance is measured in terms of average throughput, packet delivery ratio (PDR), average jitter and energy consumption. The simulations are carried out in NS-3. The simulation results show that DSDV and AODV routing protocols are less energy efficient. The main aim of this paper is to highlight the directions for the future design of routing protocol which would be better than the existing ones in terms of energy utilization and delivery ratio.

scholarly journals Performance Optimization of MANET Networks through Routing Protocol Analysis

Computers ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 2
Author(s):  
Tri Kuntoro Priyambodo ◽  
Danur Wijayanto ◽  
Made Santo Gitakarma
Keyword(s):  
Routing Protocol ◽  
Packet Loss ◽  
Performance Optimization ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Metrics ◽  
Delivery Ratio ◽  
Aodv Protocol ◽  
Parameter Values ◽  
Route Request

A Mobile Ad Hoc Network (MANET) protocol requires proper settings to perform data transmission optimally. To overcome this problem, it is necessary to select the correct routing protocol and use the routing protocol’s default parameter values. This study examined the effect of route request parameters, such as RREQ_RETRIES and MAX_RREQ_TIMOUT, on the Ad Hoc On-demand Distance Vector (AODV) protocol, which was then compared with the default AODV performance Optimized Link State Routing (OLSR) protocols. The performance metrics used for measuring performance were Packet Delivery Ratio (PDR), throughput, delay, packet loss, energy consumption, and routing overhead. The results show that the OLSR protocol has a smaller delay than the AODV protocol, while in other measurements, the AODV protocol is better than OLSR. By reducing the combination value of RREQ_RETRIES, MAX_RREQ_TIMEOUT in AODV routing to (2, 10 s) and (3, 5 s), the protocol’s performance can be improved. The two combinations result in an average increase in throughput performance of 3.09%, a decrease in delay of 17.7%, a decrease in packet loss of 27.15%, and an increase in PDR of 4.8%. For variations in the speed of movement of nodes, 20 m/s has the best performance, while 5 m/s has the worst performance.

Intelligent Reasoning Approach for Active Queue Management in Wireless Ad Hoc Networks

2011 ◽  
pp. 1066-1083
Author(s):  
Essam Natsheh ◽  
Adznan B. Jantan ◽  
Sabira Khatun ◽  
Shamala Subramaniam
Keyword(s):  
Wireless Ad Hoc Networks ◽  
Network Performance ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Active Queue Management ◽  
Queue Management ◽  
Congestion Detection ◽  
Incoming Packet ◽  
Packet Latency ◽  
Hoc Networks

Mobile ad hoc network is a network without infrastructure where every node has its own protocols and services for powerful cooperation in the network. Every node also has the ability to handle the congestion in its queues during traffic overflow. Traditionally, this was done through Drop-Tail policy where the node drops the incoming packets to its queues during overflow condition. Many studies showed that early dropping of incoming packet is an effective technique to avoid congestion and to minimize the packet latency. Such approach is known as Active Queue Management (AQM). In this article, an enhanced algorithm called fuzzy-AQM is suggested using a fuzzy logic system to achieve the benefits of AQM. Uncertainty associated with queue congestion estimation and lack of mathematical model for estimating the time to start dropping incoming packets makes the fuzzy-AQM algorithm the best choice. Extensive performance analysis via simulation showed the effectiveness of the proposed method for congestion detection and avoidance improving overall network performance.

scholarly journals Comparison between Different Queue Management Techniques in Mobile Ad-Hoc Network: A Survey

2018 ◽  
Vol 7 (2.6) ◽  
pp. 182
Author(s):  
Prabhat Kumar Sahu ◽  
Susrita Mahapatro ◽  
Pradeep Kumar Dash
Keyword(s):  
Quality Of Service ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Active Queue Management ◽  
Management Technique ◽  
Queue Management ◽  
Management Techniques ◽  
Mobile Ad Hoc

The world is running in a lightning speed with the rapid up gradation of technology. In fraction of second human civilization experiences a unique set of technologies and for this human sentiment started to demand better quality of service in almost all the areas which provides ease to it by minimizing human work efforts. Communication becomes an integral part of this rapidly changing technology.  From the introduction of internet, the taste and preferences of virtual communication has been changed. A new technology called as Mobile Ad Hoc Network (MANet) is also getting its popularity due to its infrastructure less and mobility property. The rapid increase in demand for use of MANets tends it to further development to provide better quality of service. However Congestion in these networks creates a challenge to achieve desired Quality of Service. Different Queue Management techniques such as Passive and Active Queue management techniques are used to minimize the congestion in these networks which uses the concept of managing the buffers though algorithms. The Passive Queue Management technique Droptail, in the introduction stage, somehow manages to increase its efficiency. However in later stage, when data traffic increases, due to global synchronization problem many other algorithms including active queue management techniques such as RED and variants, REM have been developed to increase the efficiency by decreasing the congestion. The concepts even travel from congestion control to congestion avoidance. In this paper we have taken into account different passive and active queue management techniques and compared them based on our literature review to find out the best among them by considering different situations.

scholarly journals Performance Investigation of Routing Protocol with the velocity of 30 m/s for Random Mobility Model

2022 ◽  
Author(s):  
Ajay Kumar Vyas ◽  
Margam Suthar
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Wireless Ad Hoc Network ◽  
Delivery Ratio ◽  
Mobile Environment ◽  
Protocol Performance ◽  
Energy Limitation ◽  
The Impact

Abstract A mobile ad-hoc network (MANET) is a network of mobile nodes short of Infrastructure, linked by wireless links. While mobility is the key feature of MANETs, the frequent movement of nodes may lead to link failure. A mobile multi-hop wireless ad hoc network carries a dynamic structure feature, and each node has mobility; due to this, the network has altered topology change dynamically. Developing the wireless ad hoc network protocol is the major challenge because, compared to the wired routing node, all node is mobile, energy limitation, the node's physical location, and multicast routing. In this article, a comparative investigation of routing protocol performance for large wireless ad hoc networks (100 nodes) under the impact of the random mobile environment with the velocity of 30 m/sec for 1800 seconds with ten different results for each node-set. The comparative analysis includes packet delivery ratio, throughput, packet dropping ratio, routing overhead, and end-to-end delay quality of service (QoS) metrics. It concludes that Ad-hoc On-demand Distance Vector protocol performance is more stable as the number of nodes & traffic increase in the random mobility environment.

Performance Comparison of MANET, VANET and FANET

2018 ◽  
Vol 8 (5) ◽  
pp. 132
Author(s):  
Aarti Sahu ◽  
Laxmi Shrivastava
Keyword(s):  
Fuzzy Logic ◽  
Wireless Network ◽  
Packet Loss ◽  
Ad Hoc Network ◽  
Fuzzy Logic Controller ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Comparison ◽  
Fuzzy Rules ◽  
Mobile Ad Hoc

A wireless ad hoc network is a decentralized kind of wireless network. It is a kind of temporary Computer-to-Computer connection. It is a spontaneous network which includes mobile ad-hoc network (MANET), vehicular ad-hoc network (VANET) and Flying ad-hoc network (FANET). Mobile Ad Hoc Network (MANET) is a temporary network that can be dynamically formed to exchange information by wireless nodes or routers which may be mobile. A VANET is a sub form of MANET. It is an technology that uses vehicles as nodes in a network to make a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. In this research paper Fuzzy based control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions.In this concept, two parameters have been used as: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to Fuzzy logic controller. The output of Fuzzy logic control (sending rate) derives from the conjunction with Fuzzy Rules Base. The parameter used input channel load, queue length which are produce the sending rate output in fuzzy logic. This fuzzy value has been used to compare the MANET, FANET and VANET in terms of the parameters Throughput, packet loss ratio, end to end delay. The simulation results reveal that usage of Qual Net 6.1 simulator has reduced packet-loss in MANET with comparing of VANET and FANET.

Radio Propagation Models: A Performance Analysis based Impact of Sparse and Dense Deployment of Nodes under Different Propagation Models in Mobile Ad-hoc Networks (MANETs)

2021 ◽  
Author(s):  
Altaf Hussain ◽  
Muhammad Rafiq Khan
Keyword(s):  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Signal Strength ◽  
Propagation Model ◽  
Strong Impact ◽  
Propagation Models ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
The Impact

Abstract Mobile Ad-hoc Network (MANET) is the most emerging and fast expanding technology since the last two decades. One of the major issue and challenging area in MANET is the process of routing due to dynamic topologies and high mobility of mobile nodes. The exchange of information from source to a destination is known as the process of routing. Spectacular amount of attention has been paid by researchers to reliable routing in ad-hoc networks. Efficiency and accuracy of a protocol depends on many parameters in these networks. In addition to other parameters node velocity and propagation models are among them. Calculating signal strength at receiver is the responsibility of a propagation model while mobility of nodes is responsible for topology of the network. A huge amount of loss in performance is occurred due to variation of signal strength at receiver and obstacles between transmissions. Simulation tools are developed to analyze the weakness and strength of protocols along with different parameters that may impact the performance. The choice of a propagation models have an abundant effect on performance on routing protocols in MANET. In this research, it has been analyzed to check the impact of different propagation models on the performance of Optimized Link State Routing (OLSR) in Sparse and Dense scenarios in MANET. The simulation has been carried out in NS-2 by using performance metrics as average Throughput, average packet drop and average latency. The results predicted that propagation models and mobility has a strong impact on the performance of OLSR in considered scenarios.

scholarly journals Reducing Packet Losses in Mobile Ad Hoc Network Using the Warning Message Generated from a Routing Node

2015 ◽  
Vol 62 (2) ◽  
pp. 141-145 ◽  
Author(s):  
Rezvi Shahariar ◽  
Abu Naser
Keyword(s):  
Energy Level ◽  
Total Energy ◽  
Packet Loss ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Critical Energy ◽  
Packet Losses ◽  
Warning Message ◽  
Mobile Ad Hoc

In mobile ad hoc network communication is performed usually by using only send and receive messages and every node is powered by limited energy from low capacity battery. Every send or receive message takes particular amount of energy from the node. So node’s total energy level gradually decreases each time while it is sending or receiving something. In this way node will die out and packets coming from the source will be dropped since one of the routing node on the current route is no longer functioning. These packet loss events are observed and minimized in this paper. In the proposed approach, when source receives Warning Message from any routing node on the ongoing route then it will stop sending packets on the ongoing route. Critical energy level of routing node has been defined to generate a Warning Message when routing node’s energy level reduces to critical energy level. DOI: http://dx.doi.org/10.3329/dujs.v62i2.21979 Dhaka Univ. J. Sci. 62(2): 141-145, 2014 (July)

scholarly journals Comparative study of energy efficient MAC protocol with channel aware packet Scheduling in MANET

2018 ◽  
Vol 7 (1.9) ◽  
pp. 16
Author(s):  
T Dheepak ◽  
S Neduncheliyan
Keyword(s):  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Packet Scheduling ◽  
Mac Protocol ◽  
Mobile Node ◽  
Delivery Ratio ◽  
Link Failure ◽  
Failure State ◽  
Utility Factor ◽  
Mobile Ad Hoc

Mobile Ad Hoc Network is the centralized communication system which is used for transferring information through a secured mode from one end to another end. However, there is an energy loss that has been noticed in MANET. In this work, an efficient energy based Link Failure State Neighbor Detection Effective Efficient Protocol (LFSNDEEP) is to enhance the energy efficiency of the mobile node, and optimal transmission ratio computes Data, Audio, and Video packets. The proposed research on LFSNDEEP protocol is compared to Effective Efficient Neighbor Detection Protocol (EENDP) and which assigns the channel utilization. In this technique, the hello packet exchanges transmit based height and wavelength of the transmitter with particular distance. The computation of channel utility factor is the best method at link failure without data loss. The vitality utilization mathematical model is illustrated to show the nodes of least consumption by the broad recreation of utilization. The results observed from the proposed scheme shows that the energy level is minimized regarding the packet that loss is improved efficiently. In further, there are two results which can be gained in comparing with EENDP; firstly, packet delivery ratio and throughput get increased. And secondly, the end to end delay is decreased.

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