عنوان

Opportunistic Routing Schemes for Large-scale and Heterogeneous Multi-hop Wireless Networks Using Directed Energy Links and Fuzzy Logic Q-Learning

Number

TLpq2444397797

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Opportunistic Routing Schemes for Large-scale and Heterogeneous Multi-hop Wireless Networks Using Directed Energy Links and Fuzzy Logic Q-Learning

General Material Designation

[Thesis]

First Statement of Responsibility

Alshehri, Ali M.

Subsequent Statement of Responsibility

Badawy, Abdel-Hameed

Name of Publisher, Distributor, etc.

New Mexico State University

Date of Publication, Distribution, etc.

2020

Specific Material Designation and Extent of Item

159

Dissertation or thesis details and type of degree

Ph.D.

Body granting the degree

New Mexico State University

Text preceding or following the note

2020

Text of Note

Recently, as a result of the tremendous increases in large-scale multihop wireless network communication applications, network capacity has decreases as the number of nodes increase. The existing routing protocols have significant limitations, such as long delays, network infrastructure requirements, limited traffic pattern, or high technical complexity, and efficient spectrum utilization, in terms of the bandwidth efficiency, cannot solve this capacity problem. For this reason, wireless network capacity scaling is a fundamental issue. In this research, a novel scalable opportunistic routing scheme for a large-scale multi-hop wireless network, is introduced. This proposal presents novelties with respect to both the candidate selection and coordination mechanisms, which will facilitate the improvement of network scalability as well as supporting multimedia traffic. In this routing scheme,we consider a hybrid network, that consists of directed energy (DE) links and omni-directional (OD) antenna links. To quantitatively select the best potential candidate nodes, the forwarder node relies on a proposed metric termed scalable opportunistic objective function (SOOF) which considers DE link presence, node mobility, one-hop throughput, and expected distance progress toward destination. We compare the performance of the proposed routing scheme with three other relevant protocols: AODV, DSDV,and GOR. For precise analysis, the performance of the routing protocols is evaluated by considering various network metrics. Our simulation result Recently, as a result of the tremendous increases in large-scale multihop wireless network communication applications, network capacity has decreases as the number of nodes increase. The existing routing protocols have significant limitations, such as long delays, network infrastructure requirements, limited traffic pattern, or high technical complexity, and efficient spectrum utilization, in terms of the bandwidth efficiency, cannot solve this capacity problem. For this reason, wireless network capacity scaling fundamental issue. In this research, a novel scalable opportunistic routing scheme for a large-scale multi-hop wireless network, is introduced. This proposal presents novelties with respect to both the candidate selection and coordination mechanisms, which will facilitate the improvement of network scalability as well as supporting multimedia traffic. In this routing scheme,we consider a hybrid network, that consists of directed energy (DE) links and omni-directional (OD) antenna links. To quantitatively select the best potential candidate nodes, the forwarder node relies on a proposed metric termed scalable opportunistic objective function (SOOF) which considers DE link presence, node mobility, one-hop throughput, and expected distance progress toward destination. We compare the performance of the proposed routing scheme with three other relevant protocols: AODV, DSDV,and GOR. For precise analysis, the performance of the routing protocols is evaluated by considering various network metrics. Our simulation result validates our analysis and demonstrates that the proposed routing scheme significantly outperforms the relevant routing protocols. Furthermore, the proliferation of mobile and IoT devices, coupled with the advances in the wireless communication capabilities of these devices,have urged the need for novel communication paradigms for such heterogeneous hybrid networks. Researchers have proposed opportunistic routing as a means to leverage the potentials offered by such heterogeneous networks.While several proposals for multiple opportunistic routing protocols exist,only a few have explored fuzzy logic to evaluate wireless links status in the network to construct stable and faster paths towards the destinations.We propose FQ-AGO, a novel Fuzzy Logic Q-learning Based Asymmetric Link Aware and Geographic Opportunistic Routing scheme that leverages the presence of long-range transmission links to assign forwarding candidates towards a given destination. The proposed routing scheme utilizes fuzzy logic to evaluate whether a wireless link is useful or not by capturing multiple network metrics, the available bandwidth, link quality, node transmission power, and distance progress. Based on the fuzzy logic evaluation, the proposed routing scheme employs a Q-learning algorithm to select the best candidate set toward the destination. We implement FQ-AGO on the NS-3 simulator and compare the performance of the proposed routing scheme with three other relevant protocols: AODV, DSDV, and GOR. For precise analysis, we consider various network metrics to compare the performance of the routing protocols. Our simulation result validates our analysis and demonstrates remarkable performance improvements in terms of total network throughput, packet delivery ration, and end-to-end delay.

Computer engineering

Alshehri, Ali M.

Badawy, Abdel-Hameed

Electronic name

p

[Thesis]

276903

a

Y