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Case Western Reserve University

1. Guo, Zhihao. INTELLIGENT MULTIPLE-OBJECTIVE PROACTIVE ROUTING IN MANET WITH PREDICTIONS ON DELAY, ENERGY, AND LINK LIFETIME.

Degree: PhD, Computer Engineering, 2008, Case Western Reserve University

In this dissertation we develop an intelligent multiple objective routing mechanism that can be integrated with any MANET proactive protocol. Our system considers three routing objectives: minimizing average end-to-end delay, maximizing network energy lifetime, and maximizing packet delivery ratio. Our system measures and predicts on multiple dynamic network conditions including queuing delay, energy consumption, and link lifetime. Based on the predicted values, our system calculates multiple routing metrics including queuing delay, energy cost, and link stability cost, and updates the routing table with evaluation of these routing metrics. This dissertation is divided into three parts, part 1 and part 2 are dedicated to the exclusive handling of the metric of queuing delay and the metric of energy cost respectively, compositive handling of all three metrics are investigated in the part 3. These three parts are formatted as three independent papers. Multiple prediction methods are developed. Two optional types of feedforward neural network models, Multi-Layer Perceptron (MLP) and Radial Basis Function (RBF), are used for queuing delay prediction in part I.; Autoregressive Integrated Moving Average (ARMIMA) are used for energy consumption prediction in part II; and double exponential smoothing is used for predicting both queuing delay and energy consumption in part III. Residual link lifetime is estimated using a heuristic of the pattern of link lifetime variation derived from the normal-like distributions of the link lifetimes in typical MANET mobility scenarios. In all the three parts, our system is integrated into OLSR, which is a well-known proactive MANET routing protocol. The regular topology control message exchange in OLSR is extended to convey the values of routing metrics. Our system uses a novel routing table computation algorithm called TierUp that evaluates node-state routing metrics (e.g., queuing delay) with reduced computational complexity compared to Dijkstra’s algorithm. Through extensive ns2 simulation our extended version of OLSR is capable of substantially improve the adaptability to the network dynamics and therefore achieve significant performance improvements in terms of all the three routing objectives. More over, our extended version of OLSR enables the routing decision maker to effectively set different preferences to different routing objectives. Advisors/Committee Members: Malakooti, Behnam (Advisor).

Subjects/Keywords: OLSR_NN; OLSR_EA; OLSR_MO; multi-objective proactive MANET routing; TierUp; neural network; Multi-Layer Perceptron (MLP); Radial Basis Function (RBF); ARIMA; double exponential smoothing; normalized weighted utility function

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Guo, Z. (2008). INTELLIGENT MULTIPLE-OBJECTIVE PROACTIVE ROUTING IN MANET WITH PREDICTIONS ON DELAY, ENERGY, AND LINK LIFETIME. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1195705509

Chicago Manual of Style (16th Edition):

Guo, Zhihao. “INTELLIGENT MULTIPLE-OBJECTIVE PROACTIVE ROUTING IN MANET WITH PREDICTIONS ON DELAY, ENERGY, AND LINK LIFETIME.” 2008. Doctoral Dissertation, Case Western Reserve University. Accessed October 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1195705509.

MLA Handbook (7th Edition):

Guo, Zhihao. “INTELLIGENT MULTIPLE-OBJECTIVE PROACTIVE ROUTING IN MANET WITH PREDICTIONS ON DELAY, ENERGY, AND LINK LIFETIME.” 2008. Web. 17 Oct 2019.

Vancouver:

Guo Z. INTELLIGENT MULTIPLE-OBJECTIVE PROACTIVE ROUTING IN MANET WITH PREDICTIONS ON DELAY, ENERGY, AND LINK LIFETIME. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2008. [cited 2019 Oct 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1195705509.

Council of Science Editors:

Guo Z. INTELLIGENT MULTIPLE-OBJECTIVE PROACTIVE ROUTING IN MANET WITH PREDICTIONS ON DELAY, ENERGY, AND LINK LIFETIME. [Doctoral Dissertation]. Case Western Reserve University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1195705509

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