Longjiang Li

TL;DR: An optimization problem is formulated to minimize the energy consumption of the offloading system, where the energy cost of both task computing and file transmission are taken into consideration, and an EECO scheme is designed, which jointly optimizes offloading and radio resource allocation to obtain the minimal energy consumption under the latency constraints.

TL;DR: A load-aware MEC offloading method is proposed, in which each vehicle makes MEC server selection based on the predicted cost with the updated knowledge on load distribution of MEC servers, which can achieve up to 65% reduction of total cost with almost 100% task success ratio.

TL;DR: A novel concept of address agent is proposed, based on which arises a novel autoconfiguration approach, to obtain the least address conflict probability and analysis and simulation show that the algorithm outperforms existing methods.

TL;DR: Through the detailed analysis and simulation, the proposed scheme provides a promising autoconfiguration framework for large-scale MANETs and is able to reduce the initial conflict probability and accelerate the conflict resolution significantly.

TL;DR: Analysis and simulation demonstrate that the proposed spanning-tree based autoconfiguration for mobile ad hoc networks, a novel approach for the efficient distributed address autoconfigureduration, outperforms the existing approaches in terms of both communication overhead and configuration latency.