Wireless Sensor Networks
17th China Conference, CWSN 2023, Dalian, China, October 13–15, 2023, Proceedings
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Book and Conference Proceedings
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Chapter and Conference Paper
A Prototype System for Blockchain Performance Evaluation
Due to complex blockchain programs and numerous blockchain nodes, it takes a huge amount of time and economic cost to conduct blockchain experiments. Existing open source projects do not support modifications ...
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Chapter
Future Research Directions
In this chapter, we outline future research directions, point out important issues, and introduce several industrial applications about robustness optimization for future networks. For the future network, ultr...
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Chapter and Conference Paper
Dynamic Mode-Switching-Based Worker Selection for Mobile Crowd Sensing
Along with intelligent device popularization, mobile crowd sensing (MCS) has garnered considerable interest as a novel way of sensing data acquisition. Active and continuous worker engagement in tasks is a cri...
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Chapter
Robustness Optimization Based on Node Self-Learning
We outline the global optimization of network topology with several methods in previous chapters, including edge switching, genetic algorithm, multi-objective optimization, machine learning, etc. In this chapt...
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Chapter and Conference Paper
Freshness-Aware High Definition Map Caching with Distributed MAMAB in Internet of Vehicles
The high-definition (HD) map is the foundation for autonomous driving, which has a huge data volume and needs to be updated frequently. To ensure low download latency, HD map contents are usually pre-cached at...
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Chapter
Introduction
This chapter mainly describes the research of Internet of Things (IoT) topology and the motivation of building robust topology. It helps to identify the breakthrough in topology optimization through analyzing ...
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Chapter
Robustness Optimization Based on Self-Organization
This chapter discusses the robustness optimization problem of the network topology from the perspective of self-organization, which is the first step to construct a topology robustness optimization framework. ...
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Chapter
Robustness Optimization Based on Swarm Intelligence
This chapter introduces the application of swarm intelligence in robust topology optimization. Traditional greedy algorithms and evolutionary algorithms are easy to fall into the local optimum and cannot obtai...
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Chapter
Robustness Optimization Based on Self-Learning
This chapter explores the construction method of robust topology from the perspective of machine learning. Traditional optimization schemes based on genetic evolution or swarm intelligence have a long running ...
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Chapter
Preliminaries of Robustness Optimization
In this chapter, we first introduce nine metrics measuring network topology robustness, and then present several advanced topology optimization algorithms based on small world and scale-free network models. Be...
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Chapter
Robustness Optimization Based on Genetic Evolution
We discuss the self-organizing robustness optimization methods improving reliability of IoT topology in Chap. 3. In this chapter, we further improve the efficiency of optimiza...
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Book and Conference Proceedings
Wireless Algorithms, Systems, and Applications
17th International Conference, WASA 2022, Dalian, China, November 24–26, 2022, Proceedings, Part III
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Chapter
Robustness Optimization Based on Multi-Objective Cooperation
The previous chapter uses the swarm intelligence algorithms to study the topology optimization problems of single sink and multi-sink networks, and verifies that the multi-sink network has better performance a...
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Book and Conference Proceedings
Wireless Algorithms, Systems, and Applications
17th International Conference, WASA 2022, Dalian, China, November 24–26, 2022, Proceedings, Part I
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Book
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Book and Conference Proceedings
Wireless Algorithms, Systems, and Applications
17th International Conference, WASA 2022, Dalian, China, November 24–26, 2022, Proceedings, Part II
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Chapter and Conference Paper
A Novel Blockchain Network Structure Based on Logical Nodes
With the continuous maturity and evolution of blockchain, applying blockchain to edge computing has increasingly become a trend, and also brings many great challenges. For the traditional blockchain structure,...
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Chapter and Conference Paper
Multi-user Cooperative Computation Offloading in Mobile Edge Computing
Mobile edge computing (MEC) is a promising technique to reduce users’ response latency by deploying computation and storage resources at the network edge. In a multi-user MEC system, the MEC server may not be ...
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Chapter and Conference Paper
Joint Cooperative Content Caching and Recommendation in Mobile Edge-Cloud Networks
In mobile edge-cloud networks, multiple edge nodes form a mesh network to cooperate with each other. To maximize the benefit of resource-limited edge nodes, the content providers jointly optimize the content c...
