2014 IEEE Conference on Wireless Sensors (ICWiSE)最新文献

Improved wireless sensor networks durability through efficient sink motion strategy 通过有效的下沉运动策略提高无线传感器网络的耐用性

2014 IEEE Conference on Wireless Sensors (ICWiSE) Pub Date : 2014-10-01 DOI: 10.1109/ICWISE.2014.7042662

M. Aliouat, Z. Aliouat

引用次数: 5

RF and battery performance study for WSN in palm oil plantation applications 棕榈油种植中无线传感器网络射频及电池性能研究

2014 IEEE Conference on Wireless Sensors (ICWiSE) Pub Date : 2014-10-01 DOI: 10.1109/ICWISE.2014.7042666

I. Yusoff, A. N. Harun, Siti Sarah Ramli

引用次数: 4

Accelerating TOA/TDOA packet based localization methods

2014 IEEE Conference on Wireless Sensors (ICWiSE) Pub Date : 2014-10-01 DOI: 10.1109/ICWISE.2014.7042657

Amin Gholoobi, S. Stavrou

引用次数: 1

Wi-Fi intruder detection Wi-Fi入侵者检测

2014 IEEE Conference on Wireless Sensors (ICWiSE) Pub Date : 2014-10-01 DOI: 10.1109/ICWISE.2014.7042668

Rui Fernandes, J. N. Matos, T. Varum, P. Pinho

引用次数: 2

Increasing Wireless Sensor Networks durability through fault nodes resilience capability 通过故障节点恢复能力提高无线传感器网络的耐用性

2014 IEEE Conference on Wireless Sensors (ICWiSE) Pub Date : 2014-10-01 DOI: 10.1109/ICWISE.2014.7042660

M. Aliouat, Z. Aliouat

引用次数: 0

RF-MIMO for smart metering communication under harsh conditions RF-MIMO用于恶劣条件下的智能计量通信

2014 IEEE Conference on Wireless Sensors (ICWiSE) Pub Date : 2014-10-01 DOI: 10.1109/ICWISE.2014.7042661

Leszek Koschel, Kim Mahler, R. Felbecker, M. Frey

引用次数: 0

Methodology for Artificial Neural controllers on wireless sensor network 无线传感器网络中的人工神经控制器方法

2014 IEEE Conference on Wireless Sensors (ICWiSE) Pub Date : 2014-10-01 DOI: 10.1109/ICWISE.2014.7042663

D. Clement, Bertelle Cyrille

引用次数: 2

An ad hoc mobility model based on realistic human interactions 一个基于现实人类互动的特别移动模型

2014 IEEE Conference on Wireless Sensors (ICWiSE) Pub Date : 2014-10-01 DOI: 10.1109/ICWISE.2014.7042654

He Ren, Qinlong Wang

{"title":"An ad hoc mobility model based on realistic human interactions","authors":"He Ren, Qinlong Wang","doi":"10.1109/ICWISE.2014.7042654","DOIUrl":"https://doi.org/10.1109/ICWISE.2014.7042654","url":null,"abstract":"Simulation is important for the validation of mobile ad hoc network protocols, and the effectiveness of simulation relies largely on what mobility model is used and how realistic the model is. Although there is an increasing amount of real traces in the public domain like CRAWDAD, the availability of them is still so limited that synthetic models are necessary for simulations. In order to simplify real movement patterns, most of the existing synthetic models generate movements with great randomness, and thus the initiative of people is not sufficiently reflected. Besides, instead of moving randomly, city residents or workers tend to regard only one location as more important than any other locations in many cases. For an individual, such a place may be his home in the neighborhood or his own desk in the office, and we call it a most important place (MIP), which is distinguished from other places. According to these real scenarios, we propose a new mobility model based on human interactions, taking into consideration human relationships, the distances of moving and the effect of MIPs. In the model, we quantify these factors in matrices and integrate them to calculate the probabilities of individuals selecting every possible destination. With the transfer-probability matrix determined, movements of each individual are equal to a Markov process, in which one location is viewed as one state of the Markov chain. Then we implement our model and give a dynamic demonstration of the moving nodes. To evaluate the reliability of our model, we use a CRAWDAD real trace as the baseline for comparison, and the result shows that our trace is close to reality.","PeriodicalId":202159,"journal":{"name":"2014 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121029920","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: 0

Security in wireless sensor networks for health monitoring helmet with anomaly detection using power analysis and probabilistic model 基于功率分析和概率模型的健康监测头盔无线传感器网络的安全性

2014 IEEE Conference on Wireless Sensors (ICWiSE) Pub Date : 2014-10-01 DOI: 10.1109/ICWISE.2014.7042664

Biswajit Panja, Z. Scott, Priyanka Meharia

{"title":"Security in wireless sensor networks for health monitoring helmet with anomaly detection using power analysis and probabilistic model","authors":"Biswajit Panja, Z. Scott, Priyanka Meharia","doi":"10.1109/ICWISE.2014.7042664","DOIUrl":"https://doi.org/10.1109/ICWISE.2014.7042664","url":null,"abstract":"Litigation faced by the NFL has called for better prevention and understanding of concussions and other sports injuries. To achieve this, sports officials have turned to wireless sensor networks, or WSNs, in the form of helmet sensors that automatically report any harmful injuries to attendants on the sidelines. While this approach provides players with a greater assurance of safety and a faster response to their injuries, the security weaknesses of WSNs must be addressed. These systems, being not only recently developed but also highly resource-constrained, may be easily manipulated by those looking to gain information about players (a form of passive attack) or even attempting to remove them from the game through the sending of false reports (a form of active attack). To prevent attacks such as these, we propose a system that uses a modification of the AES-CCM protocol as well as a novel attack detection system that uses probabilistic methods to report any harmful behavior to the user. The system's power usage due to injury reports is compared to a probability model that is based on past research that recorded the likelihood of injury for the positions played in professional football. This system offers many advantages over conventional cryptography as it is a lightweight approach that costs few resources; individual helmet sensors need only send simple power reports to a central base station which uses on-the-grid power to conduct security analysis. Provided below is detail of the paper which describes the problem in greater detail, a section that details the system architecture, a section that explains the AES-CCM protocol, and an explanation of the probabilistic approach. This is followed by a security analysis that compares the approach to several other approaches found in the literature, and finally a conclusion.","PeriodicalId":202159,"journal":{"name":"2014 IEEE Conference on Wireless Sensors (ICWiSE)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122535934","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: 7

Target coverage management in wireless sensor networks 无线传感器网络中的目标覆盖管理

2014 IEEE Conference on Wireless Sensors (ICWiSE) Pub Date : 2014-10-01 DOI: 10.1109/ICWISE.2014.7042656

B. Diop, Dame Diongue, Ousmane Thiaré

引用次数: 9