2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN)最新文献_第2页

A Weighted Network Model Based on the Correlation Degree between Nodes 基于节点间关联度的加权网络模型

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.29

Xiaoheng Deng, You Wu, M. Dong, Chenglong Li, Yan Pan

引用次数: 3

A Novel DTN Routing Algorithm in the GEO-Relaying Satellite Network geo中继卫星网络中一种新的DTN路由算法

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.18

Yipeng Wu, Zhihua Yang, Qinyu Zhang

引用次数: 15

On the Need of Systemic Support for Spatio-Temporal Programming of Mobile Robot Swarms 移动机器人群时空规划的系统支持需求研究

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.22

Daniel Graff, Daniel Röhrig, R. Karnapke

引用次数: 1

Fairness Counts: Simple Task Allocation Scheme for Balanced Crowdsourcing Networks 公平计数:平衡众包网络的简单任务分配方案

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.32

Xiaochen Fan, Panlong Yang, Qingyu Li

{"title":"Fairness Counts: Simple Task Allocation Scheme for Balanced Crowdsourcing Networks","authors":"Xiaochen Fan, Panlong Yang, Qingyu Li","doi":"10.1109/MSN.2015.32","DOIUrl":"https://doi.org/10.1109/MSN.2015.32","url":null,"abstract":"With the increasing development of mobile networking technologies, optimization methods for efficient task assignment plays a key role for mobile crowdsourcing process. However, what hiding behind the strategies are solutions to motivate users for participation, which reveals a fundamental problem: the fairness issue of crowdsourcing system. Since the participators are human beings with intensive interest for obtaining benefits, it is reasonable to build a sustainable crowd with guaranteed fairness among users. Thus in this study, we investigate the fairness issue in mobile social network, which could be more complicated when uncontrollable mobile users are concerned. The intuitive solution is, if the tasks could be effectively assigned among users in a balanced way, the fairness could be guaranteed. Unfortunately, there is still a big challenge for this issue, because it's difficult to acquire accurate global information of task loading, which is highly dynamic and distributed. By leveraging the power of two random choices, which is based on the balls and bins theory, we develop a lightweight scheme to allocate tasks. Indeed, we proposed a heuristic algorithm to achieve balanced task allocation effectively with O(1) complexity. To the best of our knowledge, it is the first effort for incorporating fair load balancing in pure distributed mobile crowdsourcing systems. Our extensive evaluation results validate our task offloading algorithm, showing that the proposed scheme outperforms the random choice method.","PeriodicalId":363465,"journal":{"name":"2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132109620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

An Iterated Local Search Approach for Multiple Itinerary Planning in Mobile Agent-Based Sensor Fusion 基于移动agent的传感器融合多路径规划迭代局部搜索方法

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.12

D. Gavalas, Ioannis E. Venetis, G. Pantziou, C. Konstantopoulos

引用次数: 3

CoDA: Connectivity-Oriented Data Dissemination Algorithm for Vehicular Internet Access Networks CoDA:面向连接的车载互联网接入网络数据传播算法

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.43

Chisheng Zhang, Jiannong Cao, G. Yao

{"title":"CoDA: Connectivity-Oriented Data Dissemination Algorithm for Vehicular Internet Access Networks","authors":"Chisheng Zhang, Jiannong Cao, G. Yao","doi":"10.1109/MSN.2015.43","DOIUrl":"https://doi.org/10.1109/MSN.2015.43","url":null,"abstract":"As a typical scenario of mobile Internet, a vehicular Internet access network is a network where vehicles exploit wireless technologies to communicate with infrastructure directly or indirectly via other vehicles or road-side units in high speed. Thus, opportunistic interactions through neighboring vehicles and infrastructure networks can be utilized to exchange useful data and information. Much effort has been made to improve the total amount of data delivered under the delay tolerant network model, in which data links from and to vehicles are always intermittent. However, the network connectivity is critical to real time or interactive applications and services. In this paper, we investigate the problem to maximize network connectivity in vehicular Internet access networks, where vehicles adopt both vehicle-to-vehicle and vehicle-to-infrastructure communications. First, we analyze the characteristics of network connectivity in vehicular Internet access networks and derive a closed-form expression to represent the connectivity probability under specific RSU deployment model and vehicle arrival rate. Then, we develop a connectivity-oriented data dissemination (CoDA) algorithm to maximize the network connectivity probability in vehicular Internet access networks based on probabilistic analysis, which considers multiple factors related to the network connectivity. Finally, we validate the CoDA algorithm through extensive simulations based on the traces from real practise.","PeriodicalId":363465,"journal":{"name":"2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116243678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Outsourcing Two-Party Privacy Preserving K-Means Clustering Protocol in Wireless Sensor Networks 无线传感器网络中外包两方隐私保护K-Means聚类协议

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.42

Xiaoyan Liu, Z. L. Jiang, S. Yiu, Xuan Wang, Chuting Tan, Ye Li, Zechao Liu, Yabin Jin, Jun-bin Fang

{"title":"Outsourcing Two-Party Privacy Preserving K-Means Clustering Protocol in Wireless Sensor Networks","authors":"Xiaoyan Liu, Z. L. Jiang, S. Yiu, Xuan Wang, Chuting Tan, Ye Li, Zechao Liu, Yabin Jin, Jun-bin Fang","doi":"10.1109/MSN.2015.42","DOIUrl":"https://doi.org/10.1109/MSN.2015.42","url":null,"abstract":"Nowadays wireless sensor network (WSN) is widely used in human-centric applications and environmental monitoring. Different institutes deploy their own WSNs for data collection and processing. It becomes a challenging problem when institutes collaborate to do data mining while intend to keep data privacy on each side. Privacy preserving data mining (PPDM) is used to solve the above problem, which enables multiple parties owning confidential data to run a data mining algorithm on their combined data, without revealing any unnecessary information to each other. However, due to the huge amount of data collected and the complexity of data mining algorithms, it is preferable to outsource most of the computations to the cloud. In this paper, we consider a scenario in which two parties with weak computational power need jointly run a k-means clustering protocol, at the same time outsource most of the computation of the protocol to the cloud. As a result, each party can have the correct result calculated by the data from both parties with most of the computation outsourced to the cloud. As for privacy, the data owned by one party should be kept confidential from both the other party and the cloud.","PeriodicalId":363465,"journal":{"name":"2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126827370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

Multi-rate Based Channel Assignment Algorithm for Multi-radio Multi-channel Wireless Mesh Networks 基于多无线电多信道无线Mesh网络的多速率信道分配算法

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.33

Guanjie Sun, Shuisheng Lin, F. Yu, Bo Yan, Jie Zhang

引用次数: 3

A Low Computational Complexity Authentication Scheme in Underwater Wireless Sensor Network 一种低计算复杂度的水下无线传感器网络认证方案

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.26

Chi Yuan, Wenping Chen, Yuqing Zhu, Deying Li, Jie Tan

引用次数: 17

An Incentive Scheme for Packet Forwarding and Payment Reduction in Wireless Ad-hoc Networks Using XOR Network Coding 一种基于异或网络编码的无线自组网分组转发和减少支付的激励方案

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.30

Yuan Zhang, S. Zhong, Haifan Yao

引用次数: 0