dc.contributor.advisor | Sterbenz, James PG | |
dc.contributor.author | Zhang, Dongsheng | |
dc.date.accessioned | 2016-06-18T14:57:18Z | |
dc.date.available | 2016-06-18T14:57:18Z | |
dc.date.issued | 2015-12-31 | |
dc.date.submitted | 2015 | |
dc.identifier.other | http://dissertations.umi.com/ku:14394 | |
dc.identifier.uri | http://hdl.handle.net/1808/20983 | |
dc.description.abstract | Understanding network behavior that undergoes challenges is essential to constructing a resilient and survivable network. Due to the mobility and wireless channel properties, it is more difficult to model and analyze mobile ad hoc networks under various challenges. We provide a comprehensive model to assess the vulnerability of mobile ad hoc networks in face of malicious attacks. We analyze comprehensive graph-theoretical properties and network performance of the dynamic networks under attacks against the critical nodes using both synthetic and real-world mobility traces. Motivated by Minimum Spanning Tree and small-world networks, we propose a network enhancement strategy by adding long-range links. We compare the performance of different enhancement strategies by evaluating a list of robustness measures. Our study provides insights into the design and construction of resilient and survivable mobile ad hoc networks. | |
dc.format.extent | 166 pages | |
dc.language.iso | en | |
dc.publisher | University of Kansas | |
dc.rights | Copyright held by the author. | |
dc.subject | Computer science | |
dc.subject | graph centrality | |
dc.subject | MANET | |
dc.subject | network resilience | |
dc.subject | network robustness | |
dc.subject | network science | |
dc.title | Resilience Evaluation and Enhancement in Mobile Ad Hoc Networks | |
dc.type | Dissertation | |
dc.contributor.cmtemember | Frost, Victor S | |
dc.contributor.cmtemember | Li, Fengjun | |
dc.contributor.cmtemember | Minden, Gary J | |
dc.contributor.cmtemember | Plattner, Bernhard | |
dc.contributor.cmtemember | Scoglio, Caterina | |
dc.contributor.cmtemember | Symons, John | |
dc.thesis.degreeDiscipline | Electrical Engineering & Computer Science | |
dc.thesis.degreeLevel | Ph.D. | |
dc.identifier.orcid | | |
dc.rights.accessrights | openAccess | |