A Geographical Proximity Aware Multi-Path Routing Mechanism for Resilient Networking

Wang, Jinfu; Bigham, John; Phillips, Chris

doi:10.1109/lcomm.2017.2691698

Cited by 9 publications

(8 citation statements)

References 12 publications

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“…Proximity analysis uses a mapped feature of interest to compute and determine its spatial relationship in distance with its neighbors, thus enabling suitable site or event selection, respectively (Stillwell and Clarke 2006;Wang et al 2017). Proximity analysis has found major use in the transportation sectors to determine distance to destinations (Wu and Carson 2008).…”

Section: Proximity Analysismentioning

confidence: 99%

Use of GIS and Remote Sensing in Tourism

Magige

Jepkosgei

Onywere

2020

Handbook of E-Tourism

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A geographic information system (GIS) is a computer-based information system using special tools to manage location-based data and their attributes for decision-making. Geospatial functions cut across many fields and support problem solving through geodata design and analysis. GIS have been used, for example, in environmental conservation and wildlife management. Its use in tourism planning, development and management, and marketing of destination products is only a more recent approach. The adoption of the technology affects both the sustainability of environmental resources and the quality of tourists' experience. The purpose of this chapter is, first, to explore the functionalities and usage potentials of GIS in the tourism domain. Second, two studies of Maasai Mara Game Reserve and Nairobi National Park portray how GIS and satellite remote sensing imagery is applied to assess the ecosystem's changes, their causes, and major implications. Examination of Landsat satellite image data for 2000 and 2017 shows that due to conversion of areas to farmlands and settlements, the coverage of Mau Forest Complex, the main catchment area for the Mara ecosystem, had reduced by 30.2% and vegetation by 22.8%. The analysis of Nairobi National Park showed that the Kitengela wildlife migration corridor has been completely encroached by human settlement and mining activities, thus seriously compromising the performance of the ecosystem. Mapping of human development pressure on the ecosystem using GIS technologies can be used to assess and manage the tourism resources potential in conjunction to biodiversity conservation as a critical element in improving wildlife as a tourism destination product.

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Section: Proximity Analysismentioning

confidence: 99%

Use of GIS and Remote Sensing in Tourism

Magige

Jepkosgei

Onywere

2020

Handbook of E-Tourism

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“…They also consider the vulnerability regions to assess the susceptible components (nodes and/or links) of D-geodiverse paths pair between two network nodes belonging to the same region. Similarly, a geographical location-aware algorithm proposed by Wang et al in Reference [101] that calculates multiple paths separated by at least a given spatial distance, known as pre-defined distance threshold r. Two variants of the algorithm based on a penalty adjustment are proposed and tested. Wang et al evaluated the performance using the proximity factor and concurrent failures to measure the resilience of the algorithm.…”

Section: Disaster-aware Network Survivabilitymentioning

confidence: 99%

“…This work needs to extend from spatially close fibers to spatially close disjoint paths for risk-averse path provisioning. Similarly, Reference [101] presented the geographic proximity-aware route selection algorithm to discover backup paths with appropriate proximity factor. The study is based on a grid-based network, whereas fiber links are deployed in a zig-zag (irregular geometry) manner in real-life networks.…”

Section: Challenges In Disaster-resilient Optical Network Survivabilitymentioning

confidence: 99%

Disaster-Resilient Optical Network Survivability: A Comprehensive Survey

et al. 2018

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Network survivability endeavors to ensure the uninterrupted provisioning of services by the network operators in case of a disaster event. Studies and news reports show that network failures caused by physical attacks and natural disasters have significant impacts on the optical networks. Such network failures may lead to a section of a network to cease to function, resulting in non-availability of services and may increase the congestion within the rest of the network. Therefore, fault tolerant and disaster-resilient optical networks have grasped the attention of the research community and have been a critical concern in network studies during the last decade. Several studies on protection and restoration techniques have been conducted to address the network component failures. This study reviews related previous research studies to critically discuss the issues regarding protection, restoration, cascading failures, disaster-based failures, and congestion-aware routing. We have also focused on the problem of simultaneous cascading failures (which may disturb the data traffic within a layer or disrupt the services at upper layers) along with their mitigating techniques, and disaster-aware network survivability. Since traffic floods and network congestion are pertinent problems, they have therefore been discussed in a separate section. In the end, we have highlighted some open issues in the disaster-resilient network survivability for research challenges and discussed them along with their possible solutions.

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“…They proposed an ILP to solve the problem. In the same context, Wang et al [20] presented a geographic aware route selection algorithm for finding alternative paths with appropriate geographical separation, referred to as the proximity factor. Contrary to their work, our proposed algorithm is based on the Yen's algorithm [21], such that the running time and accuracy of our algorithm can be tuned based on the selected K value.…”

Section: Related Workmentioning

confidence: 99%

Maximally Spatial-Disjoint Lightpaths in Optical Networks

Ashraf

Idrus

Iqbal

2018

IJEECS

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Lightpaths enable end-to-end all-optical transmission between network nodes. For survivable routing, traffic is often carried on a primary lightpath, and rerouted to another disjointed backup lightpath in case of the failure of the primary lightpath. Though both lightpaths can be physically disjointed, they can still fail simultaneously if a disaster affects them simultaneously on the physical plane. Hence, we propose a routing algorithm for provisioning a pair of link-disjoint lightpaths between two network nodes such that the minimum spatial distance between them (while disregarding safe regions) is maximized. Through means of simulation, we show that our algorithm can provide higher survivability against spatial-based simultaneous link failures (due to the maximized spatial distance).

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A Geographical Proximity Aware Multi-Path Routing Mechanism for Resilient Networking

Cited by 9 publications

References 12 publications

Use of GIS and Remote Sensing in Tourism

Use of GIS and Remote Sensing in Tourism

Disaster-Resilient Optical Network Survivability: A Comprehensive Survey

Maximally Spatial-Disjoint Lightpaths in Optical Networks

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