Abstract:Quality of Service (QoS) is a tool to measure the efficiency of the Ad-hoc network. QoS is a complex function because it depends mainly on four factors (throughput, packet delivery ratio, end-to-end delay and jitter). These four factors are functions of internal factors and are variables with the time. In the result the QoS is an ambiguous tool. This paper proposes a brand-new method to solve this ambiguity, it will use the fuzzy technique to simplify the QoS factor and summarize it in a simple form or in a si… Show more
“…For this special case study, a network is designed for a camp, according to its user's requirements the E-Mail application is more frequent use than voice application. The simulation results shown in Table 5, the protocol evaluation value obtained by QoSHFS system from the work in [5], were based on the worst case, all the 33 nodes use E-Mail and 6 nodes use voice (3 links) simultaneously. The result shows that DSR performance could be enhanced, if the numbers of nodes that use E-Mail are reduced in a time.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…When mobility model has different speeds, the average value will be taken as membership degree. For instance, nodes move in ranged [5][6][7][8][9][10] m/sec will have average mobility speed 7.5 m/sec. If there is a pause time, assume 5 sec in this model then average speed will be (7.5/5) m/sec.…”
Section: Mobility Speed and Modelsmentioning
confidence: 99%
“…The Adhoc protocol evaluation system that we proposed in [5] is extended to include the environment evaluation by appended the FMADM system. MATLAB is used in the implementation process.…”
Section: System Performance and Evaluationmentioning
confidence: 99%
“…[3] concentrated their study on investigating and quantifying the effects of various factors on the overall performance of Ad-hoc networks, while nodes cooperation is sufficient to achieve performance improvement is discussed in [4]. In addition to the QoSHFS for MANET application evaluation that detailed [5], MANET environment evaluation system will be design in this paper, as a result of its effective role on the overall protocols performance. Environment evaluation will be done by FMADM, due to MANET characteristic as previously explain.…”
MANET environment was represented by a combination of node position, mobility speed, node type, and number of nodes. In this paper, a novel system for MANET environment evaluation is proposed by involving fuzzy multi-criteria decision maker (FMCDM) to reflect the importance of the MANET environment on the overall protocols performance. The proposed system combined with another system that previously suggested for MANET protocol evaluation. the outputs of these systems are merged to produce one single crisp value in interval [0 1]. Then, a case study for an office is implemented using OPNET 14.5 simulator to test the proposed system. results proved that MANET environment could be used to enhance the QoS of the protocol. in another world, factors along with inherent characteristics of Ad-hoc networks may result in unpredictable variations in the overall network performance.
“…For this special case study, a network is designed for a camp, according to its user's requirements the E-Mail application is more frequent use than voice application. The simulation results shown in Table 5, the protocol evaluation value obtained by QoSHFS system from the work in [5], were based on the worst case, all the 33 nodes use E-Mail and 6 nodes use voice (3 links) simultaneously. The result shows that DSR performance could be enhanced, if the numbers of nodes that use E-Mail are reduced in a time.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…When mobility model has different speeds, the average value will be taken as membership degree. For instance, nodes move in ranged [5][6][7][8][9][10] m/sec will have average mobility speed 7.5 m/sec. If there is a pause time, assume 5 sec in this model then average speed will be (7.5/5) m/sec.…”
Section: Mobility Speed and Modelsmentioning
confidence: 99%
“…The Adhoc protocol evaluation system that we proposed in [5] is extended to include the environment evaluation by appended the FMADM system. MATLAB is used in the implementation process.…”
Section: System Performance and Evaluationmentioning
confidence: 99%
“…[3] concentrated their study on investigating and quantifying the effects of various factors on the overall performance of Ad-hoc networks, while nodes cooperation is sufficient to achieve performance improvement is discussed in [4]. In addition to the QoSHFS for MANET application evaluation that detailed [5], MANET environment evaluation system will be design in this paper, as a result of its effective role on the overall protocols performance. Environment evaluation will be done by FMADM, due to MANET characteristic as previously explain.…”
MANET environment was represented by a combination of node position, mobility speed, node type, and number of nodes. In this paper, a novel system for MANET environment evaluation is proposed by involving fuzzy multi-criteria decision maker (FMCDM) to reflect the importance of the MANET environment on the overall protocols performance. The proposed system combined with another system that previously suggested for MANET protocol evaluation. the outputs of these systems are merged to produce one single crisp value in interval [0 1]. Then, a case study for an office is implemented using OPNET 14.5 simulator to test the proposed system. results proved that MANET environment could be used to enhance the QoS of the protocol. in another world, factors along with inherent characteristics of Ad-hoc networks may result in unpredictable variations in the overall network performance.
“…The vehicular-Adhoc networks [1] are infrastructure less wireless communication network framed for a specific reason. It utilizes the volunteering vehicles as the nodes to extend communication between the vehicles.…”
The vehicular network that scopes to reach the internet access to make use of the available service on road along with the improvement in the safety and convenience while travelling has become a very popular area of research as they lay as the foundation for the intelligent transportation system. But due to the high mobility of the vehicles the network topology remains dynamic and the connectivity between the vehicles keep on changing reducing the life expectancy of the links and failures in the delivery of the services. So this paves way for the entailment of the more effective routing protocol that would heighten the vehicular network quality of service. The proposed method in the paper puts forth the modified Ant colony optimization that integrates the clustering technique to frame optimal shortest route for the internet access in the vehicular network to manage its mobility and the topology changes. The process of optimal route selection taking into consideration the mobility and the dynamic topology is evaluated using the network simulator tool to prove the capabilities of the proposed method on the grounds of bandwidth utilization throughput delay and link life expectancy.
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