Selected Papers from: 11th Annual International Conference on Combinatorial Optimization and Applications (COCOA'17)

A special issue of Algorithms (ISSN 1999-4893).

Deadline for manuscript submissions: closed (30 April 2018)

Special Issue Editors


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Guest Editor
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: data engineering; combinatorial optimization; wireless network

Special Issue Information

Dear Colleagues,

Combinatorial optimization is an area of research at the intersection of applied mathematics, computer science, and operations research, which has important applications in several fields.

This Special Issue is devoted to the theoretical and experimental research of all aspects of areas of combinatorial optimization and its applications, including Algorithms and Data Structures, Approximation Algorithms, Operation Research, Communication Network Optimization, Social Networks, Computational Algebra, Graph Theory, Distributed Computational Systems, and Scheduling, etc.

The topics of interest to this Special Issue cover the scope of the COCOA 2017 Conference (http://anl.sjtu.edu.cn/cocoa2017/callforpapers.html).

Extended versions of papers presented at COCOA 2017 are sought, but this call for papers is fully open to all those who wish to contribute by submitting a relevant research manuscript.

Dr. Xiaofeng Gao
Dr. Zhipeng Cai
Guest Editors

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Keywords

  • Combinatorial optimization
  • Approximation Algorithms
  • Operation Research
  • Game Theory
  • Graph Theory
  • Network
  • Application

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Published Papers (1 paper)

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Research

21 pages, 2999 KiB  
Article
A Robust and Energy-Efficient Weighted Clustering Algorithm on Mobile Ad Hoc Sensor Networks
by Huamei Qi, Fengqi Liu, Tailong Xiao and Jiang Su
Algorithms 2018, 11(8), 116; https://doi.org/10.3390/a11080116 - 1 Aug 2018
Cited by 9 | Viewed by 4246
Abstract
In an Ad hoc sensor network, nodes have characteristics of limited battery energy, self-organization and low mobility. Due to the mobility and heterogeneity of the energy consumption in the hierarchical network, the cluster head and topology are changed dynamically. Therefore, topology control and [...] Read more.
In an Ad hoc sensor network, nodes have characteristics of limited battery energy, self-organization and low mobility. Due to the mobility and heterogeneity of the energy consumption in the hierarchical network, the cluster head and topology are changed dynamically. Therefore, topology control and energy consumption are growing to be critical in enhancing the stability and prolonging the lifetime of the network. In order to improve the survivability of Ad hoc network effectively, this paper proposes a new algorithm named the robust, energy-efficient weighted clustering algorithm (RE2WCA). For the homogeneous of the energy consumption; the proposed clustering algorithm takes the residual energy and group mobility into consideration by restricting minimum iteration times. In addition, a distributed fault detection algorithm and cluster head backup mechanism are presented to achieve the periodic and real-time topology maintenance to enhance the robustness of the network. The network is analyzed and the simulations are performed to compare the performance of this new clustering algorithm with the similar algorithms in terms of cluster characteristics, lifetime, throughput and energy consumption of the network. The result shows that the proposed algorithm provides better performance than others. Full article
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