scholarly journals Minimization of Average Delay, Routing Load and Packet Loss Rate in AODV Routing Protocol

2012 ◽  
Vol 44 (15) ◽  
pp. 14-17 ◽  
Author(s):  
Hemant KumarGarg ◽  
P.C.Gupta P.C.Gupta
Keyword(s):  
Routing Protocol ◽  
Packet Loss ◽  
Loss Rate ◽  
Packet Loss Rate ◽  
Average Delay ◽  
Aodv Routing Protocol

scholarly journals Routing Optimization Based on OSPF in Multi-Layer Satellite Network

2021 ◽  
Author(s):  
Mingjiang Fu ◽  
Bingli Guo ◽  
Hai Yang ◽  
Chengguang Pang ◽  
Shanguo Huang
Keyword(s):  
Packet Loss ◽  
Loss Rate ◽  
Hot Spot ◽  
Packet Loss Rate ◽  
Throughput Capacity ◽  
Satellite Network ◽  
Average Delay ◽  
Delay Performance ◽  
Routing Optimization ◽  
Loss Level

Multi-layer satellite network has become a hot spot for its wider coverage and higher bandwidth level. However, due to the frequent link changes and complexity of network, it is hard to find out a mechanism to handle well on long delay and high packet loss level. This paper proposes an optimized OSPF protocol called OOWLP to eliminate unnecessary routing convergence to optimize the packet loss level and delay ultimately. Link plan table, which records link contacting plan, will be used to update the link state database periodically so that we can eliminate the flooding procedure caused by scheduled link changes. On the other hand, Constrained Shortest Path First (CSPF) will be used to get business differentiated routes in multi-layer satellite network to optimized the throughput capacity in congestion scenario. We divide the sending packets into different businesses and get the routes for each business with longer duration limited by remaining bandwidth. Simulation results show that in normal scenario, average packet loss rate and delay performance are improved 17.42%, 51.44ms respectively, average packet loss rate and throughput capacity performance are optimized 79.05%, 9.81Mbps respectively in congestion scenario compared to standard OSPF. As a result, the proposed mechanism is able to shorten the average delay and lower the packet loss level in multi-layer satellite network.

scholarly journals Efficient on Demand Routing Protocol to Optimize Throughput in Manet

2019 ◽  
Vol 8 (3) ◽  
pp. 2653-2660
Keyword(s):  
Routing Protocol ◽  
Packet Loss ◽  
Loss Rate ◽  
Path Selection ◽  
Packet Loss Rate ◽  
Link Quality ◽  
High Quality ◽  
On Demand ◽  
Wireless Links ◽  
Demand Routing

Throughput oriented route selection is still a challenging task due to several constraints of ad-hoc networks such as absence of central control, dynamic network topology, selfish nature of nodes, etc. A routing protocol produce optimum results if it prioritizes wireless links on the basis of link quality and consider high quality/ efficient links at the time of path selection. Proposed protocol discovers high quality/ efficient links and connects those links to establish efficient route in mobile adhoc network that leads to high Aggregate Network Throughput. This work has been done by estimating every link’s ENT (Expected Number of Transmission) value as QoS parameter and considering qualifying high capacity/efficient links to communicate data packets. To estimate ENT value of each link, variability in packet loss rate on that link is observed in simulation experiments. Probability of errors in transmission is estimated at bit level. Results are stochastic and high fluctuations observed in packet loss rate hence 𝝈 𝟐 (i.e. packet loss variance on a wireless link) included in link quality estimation. In proposed protocol EODRP (Efficient On Demand Routing Protocol) link quality based route metric ENT, selects QoS qualified wireless links during route computation and routing information disperse through reactive routing protocol. Simulation results have been analyzed and compared with MXAODV [7] which indicates significant improvement in network efficiency in terms of throughput and other parameters.

scholarly journals Genetic Algorithm Based QoS Perception Routing Protocol for VANETs

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Guoan Zhang ◽  
Min Wu ◽  
Wei Duan ◽  
Xinming Huang
Keyword(s):  
Genetic Algorithm ◽  
Routing Protocol ◽  
Packet Loss ◽  
Ad Hoc Network ◽  
Loss Rate ◽  
Ad Hoc ◽  
Packet Loss Rate ◽  
Qos Requirement ◽  
Connectivity Aware Routing

A genetic algorithm (GA) based QoS perception routing protocol (GABR) is proposed to guarantee the quality of service (QoS) influenced by broken links between vehicles and the failure of packets transmission in a vehicular ad hoc network (VANET). With the observation that all improvable paths are probed by the intersection based routing protocol, the genetic GA is utilized to optimize the global available paths which satisfies the QoS requirement. Moreover, by means of the numerical results, it is shown that the proposed scheme is significantly improved compared with protocols of the intersection based routing (IBR) and connectivity aware routing (CAR) in terms of transmission delay and packet loss rate.

Packet loss rate monitoring model of IOT based on differential evolution algorithm

2021 ◽  
pp. 1-12
Author(s):  
Yinghua Feng ◽  
Wei Yang
Keyword(s):  
Internet Of Things ◽  
Differential Evolution ◽  
Packet Loss ◽  
Loss Rate ◽  
Differential Evolution Algorithm ◽  
Packet Loss Rate ◽  
Data Space ◽  
Monitoring Model ◽  
Evolution Algorithm ◽  
The Internet Of Things

In order to overcome the problems of high energy consumption and low execution efficiency of traditional Internet of things (IOT) packet loss rate monitoring model, a new packet loss rate monitoring model based on differential evolution algorithm is proposed. The similarity between each data point in the data space of the Internet of things is set as the data gravity. On the basis of the data gravity, combined with the law of gravity in the data space, the gravity of different data is calculated. At the same time, the size of the data gravity is compared, and the data are classified. Through the classification results, the packet loss rate monitoring model of the Internet of things is established. Differential evolution algorithm is used to solve the model to obtain the best monitoring scheme to ensure the security of network data transmission. The experimental results show that the proposed model can effectively reduce the data acquisition overhead and energy consumption, and improve the execution efficiency of the model. The maximum monitoring efficiency is 99.74%.

scholarly journals Sensing Coverage Algorithm of Sparse Mobile Sensor Node with Trade-Off between Packet Loss Rate and Transmission Delay

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Kehua Zhao ◽  
Yourong Chen ◽  
Siyi Lu ◽  
Banteng Liu ◽  
Tiaojuan Ren ◽  
...  
Keyword(s):  
Packet Loss ◽  
Data Transmission ◽  
Loss Rate ◽  
Packet Loss Rate ◽  
Transmission Delay ◽  
Sensor Nodes ◽  
Mobile Sensor ◽  
Sensing Coverage ◽  
Mobile Sensor Node ◽  
Monitoring Area

To solve the problem of sensing coverage of sparse wireless sensor networks, the movement of sensor nodes is considered and a sensing coverage algorithm of sparse mobile sensor node with trade-off between packet loss rate and transmission delay (SCA_SM) is proposed. Firstly, SCA_SM divides the monitoring area into several grids of same size and establishes a path planning model of multisensor nodes’ movement. Secondly, the social foraging behavior of Escherichia coli in bacterial foraging is used. A fitness function formula of sensor nodes’ moving paths is proposed. The optimal moving paths of all mobile sensor nodes which can cover the entire monitoring area are obtained through the operations of chemotaxis, replication, and migration. The simulation results show that SCA_SM can fully cover the monitoring area and reduce the packet loss rate and data transmission delay in the process of data transmission. Under certain conditions, SCA_SM is better than RAND_D, HILBERT, and TCM.

scholarly journals Wireless Body Area Network (WBAN)-Based Telemedicine for Emergency Care

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2153 ◽  
Author(s):  
Latha R ◽  
Vetrivelan P
Keyword(s):  
Packet Loss ◽  
Loss Rate ◽  
Bayes Theorem ◽  
Data Rate ◽  
Packet Loss Rate ◽  
Medical Decision ◽  
Area Network ◽  
Body Area ◽  
Delay Sensitive ◽  
Emergency Monitoring

This paper is a collection of telemedicine techniques used by wireless body area networks (WBANs) for emergency conditions. Furthermore, Bayes’ theorem is proposed for predicting emergency conditions. With prior knowledge, the posterior probability can be found along with the observed evidence. The probability of sending emergency messages can be determined using Bayes’ theorem with the likelihood evidence. It can be viewed as medical decision-making, since diagnosis conditions such as emergency monitoring, delay-sensitive monitoring, and general monitoring are analyzed with its network characteristics, including data rate, cost, packet loss rate, latency, and jitter. This paper explains the network model with 16 variables, with one describing immediate consultation, as well as another three describing emergency monitoring, delay-sensitive monitoring, and general monitoring. The remaining 12 variables are observations related to latency, cost, packet loss rate, data rate, and jitter.

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