Random Access in Capillary Machine Type Networking: Modeling, Analysis and Optimization

Simple item page
atmire.migration.oldid5605
dc.contributor.advisorFapojuwo, Abraham O.
dc.contributor.authorKazi, Ashrafuzzaman
dc.contributor.committeememberSesay, Abu-Bakarr
dc.contributor.committeememberMessier, Geoffrey
dc.contributor.committeememberWilliamson, Carey
dc.contributor.committeememberVincent, Wong
dc.date.accessioned2017-05-30T19:23:00Z
dc.date.available2017-05-30T19:23:00Z
dc.date.issued2017
dc.date.submitted2017en
dc.description.abstractNetworked infrastructures of capillary nature have lately been in emergence for a particular variety of machine type communication involving miniaturized sensors and actuators as densely located end-nodes. As an enabler of pervasive systems, these networks facilitate interplay among a wide range of applications such as ambient intelligence, safety and security, smart grid/energy services and utility control. With largely event-driven packet traffic, random access schemes are a logical choice at the medium access control layer in these networks. Yet, the large scale of the networks within the link layer neighborhood, the low- power nature of most of the end-nodes, and the potential imperative to prioritize critical traffic pose fundamental challenge to random access regarding efficiency and flexibility. This thesis addresses the challenge considering carrier sense multiple access (CSMA) based schemes from an analytic modeling approach. Leveraging the infrastructure-based setting expected in the access network, investigations have been undertaken on assessing ways for priority-provisioning and optimizing performance. First, a conventional variant of the CSMA protocol embodying a fixed provision for priority is modeled with stochastic formulation and the throughput and packet service time performance are evaluated. In a similar track, a CSMA protocol is modeled in tractable form to determine throughput optimizing condition in conjunction with granting arbitrary degrees of priority. Flexible prioritizing with optimality for a related CSMA scheme is also studied with an immediately enforcing mechanism for differentiation. Second, accounting for intermittent packet traffic within the access network, an algorithmic solution is produced for the coordinator to estimate time-varying random access contention, leading to high CSMA utilization on-the-fly with fairness among the nodes and low temporal dispersion. Lastly, CSMA has been modeled and analyzed considering multi-packet reception capacity at the underlying physical layer, leading to the determination of a suitable backoff scheme for the task. The solutions are a step towards instilling self-organizing capacity into the multifaceted, software-defined systems in emergence for managing operations of the related networks.en_US
dc.identifier.citationKazi, A. (2017). Random Access in Capillary Machine Type Networking: Modeling, Analysis and Optimization (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27522en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/27522
dc.identifier.urihttp://hdl.handle.net/11023/3859
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectComputer Science
dc.subjectEngineering--Electronics and Electrical
dc.subject.otherCSMA
dc.subject.otherM2M
dc.subject.otherAnalytic Model
dc.titleRandom Access in Capillary Machine Type Networking: Modeling, Analysis and Optimization
dc.typedoctoral thesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
Files
Collections
Open Theses and Dissertations