scholarly journals A Privacy-Preserving Incentive Mechanism for Data Offloading in Satellite-Terrestrial Crowdsensing

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Boxiang Zhu ◽  
Jiarui Li ◽  
Zhongkai Liu ◽  
Yang Liu
Keyword(s):  
Privacy Protection ◽  
Task Assignment ◽  
Privacy Preserving ◽  
Data Offloading ◽  
Remote Areas ◽  
Lyapunov Optimization ◽  
Optimization Theorem ◽  
Queue Stability ◽  
Total Payment

Data offloading algorithm is the foundation of urban Internet of Things, which has gained attention for its large size of user engagement, low cost, and wide range of data sources, replacing traditional crowdsensing in areas such as intelligent vehicles, spectrum sensing, and environmental surveillance. In data offloading tasks, users’ location information is usually required for optimal task assignment, while some users in remote areas are unable to access base station signals, making them incapable of performing sensing tasks, and at the same time, there are serious concerns about users’ privacy leakage about their locations. Until today, location protection for task assignment in data offloading has not been well explored. In addition, existing privacy protection algorithms and data offloading task assignment mechanisms cannot provide personalized protection for different users’ privacy protection needs. To this end, we propose an algorithm known as differential private long-term privacy-preserving auction with Lyapunov stochastic theory (DP-LAL) for data offloading based on satellite-terrestrial architecture that minimizes the total payment. This not only gives an approximate optimal total payment in polynomial time but also improves the issue of poor signal in remote areas. Meanwhile, satellite-terrestrial data offloading architecture integrates wireless sensor networks and cloud computing to provide real-time data processing. What is more, we have considered long-term privacy protection goals. We employ reverse combinatorial auction and Lyapunov optimization theorem to jointly optimize queue stability and total payment. More importantly, we use Lyapunov optimization theorem to jointly optimize queue stability and total payment. We prove that our algorithm is of high efficiency in computing and has good performance in various economic attributes. For example, our algorithms are personally rational, budget-balanced, and true to the buyer and seller. We use large-scale simulations to evaluate the proposed algorithm, and compare our algorithm with existing algorithms, our algorithm shows higher efficiency and better economic properties.

Mobile crowd sensing : task assignment, privacy protection, incentive, and application

2021 ◽  
Author(s):  
Zhigang Jia ◽  
Weiwei Zhao ◽  
Jie Luo ◽  
Yang Chen ◽  
ChangJing Xu
Keyword(s):  
Privacy Protection ◽  
Task Assignment ◽  
Mobile Crowd Sensing ◽  
Crowd Sensing ◽  
Mobile Crowd

scholarly journals Technical note: GUARD – An automated fluid sampler preventing sample alteration by contamination, evaporation and gas exchange, suitable for remote areas and harsh conditions

2018 ◽  
Author(s):  
Arno Hartmann ◽  
Marc Luetscher ◽  
Ralf Wachter ◽  
Philipp Holz ◽  
Elisabeth Eiche ◽  
...  
Keyword(s):  
Gas Exchange ◽  
Field Experiments ◽  
Hydrological Cycle ◽  
Technical Note ◽  
Production Costs ◽  
Environmental Research ◽  
Remote Areas ◽  
Wide Range ◽  
Public And Private Sector

Abstract. Automated water sampling devices adapted to field operation have proven highly useful for environmental research as well as in the public and private sector, where natural or artificial waters need to be tested regularly for compliance with environmental and health regulations. Such autosamplers are already available on the market in slightly differing versions, but none of these devices are capable of sealing the collected samples to prevent sample alteration by contamination, evaporation or gas exchange. In many sampling cases, however, this feature is essential, for instance for studying the hydrological cycle based on isotopes in rainwater, or for monitoring waters contaminated with toxic gases or other volatile compounds detrimental to biota and human health. Therefore, we have developed a new mobile autosampler, which injects water samples directly into airtight vials, thus preventing any sample alteration. Further advantages include low production costs, compact dimensions and low weight allowing for easy transport, a wide range of selectable sampling intervals as well as a low power consumption, which make it suitable for long-term applications even in remote areas and harsh (outdoor) conditions due to its heavy-duty water-proof casing. In this paper, we demonstrate (1) the sampler's mechanical functioning, (2) the long-term stability of the collected samples with regard to evaporation and gas exchange and (3) the potential of our device in a wide variety of applications drawing on laboratory and field experiments in different karst caves, which represent one of the most challenging sampling environments.

A New View of Privacy in Social Networks

2019 ◽  
pp. 517-541
Author(s):  
Wei Chang ◽  
Jie Wu
Keyword(s):  
Privacy Protection ◽  
Privacy Preserving ◽  
Propagation Path ◽  
Data Publishing ◽  
Mobile Social Network ◽  
Data Utility ◽  
Privacy Requirements ◽  
Individual Privacy ◽  
Utility Loss ◽  
Privacy Preserving Data Publishing

Many smartphone-based applications need microdata, but publishing a microdata table may leak respondents' privacy. Conventional researches on privacy-preserving data publishing focus on providing identical privacy protection to all data requesters. Considering that, instead of trapping in a small coterie, information usually propagates from friend to friend. The authors study the privacy-preserving data publishing problem on a mobile social network. Along a propagation path, a series of tables will be locally created at each participant, and the tables' privacy-levels should be gradually enhanced. However, the tradeoff between these tables' overall utility and their individual privacy requirements are not trivial: any inappropriate sanitization operation under a lower privacy requirement may cause dramatic utility loss on the subsequent tables. For solving the problem, the authors propose an approximation algorithm by previewing the future privacy requirements. Extensive results show that this approach successfully increases the overall data utility, and meet the strengthening privacy requirements.

scholarly journals A Dual Privacy Preserving Algorithm in Spatial Crowdsourcing

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Shengxiang Wang ◽  
Xiaofan Jia ◽  
Qianqian Sang
Keyword(s):  
Waiting Time ◽  
Task Allocation ◽  
Privacy Protection ◽  
Privacy Preserving ◽  
Smart Devices ◽  
Location Information ◽  
Spatial Crowdsourcing ◽  
Allocation Efficiency ◽  
And Task

Spatial crowdsourcing assigns location-related tasks to a group of workers (people equipped with smart devices and willing to complete the tasks), who complete the tasks according to their scope of work. Since space crowdsourcing usually requires workers’ location information to be uploaded to the crowdsourcing server, it inevitably causes the privacy disclosure of workers. At the same time, it is difficult to allocate tasks effectively in space crowdsourcing. Therefore, in order to improve the task allocation efficiency of spatial crowdsourcing in the case of large task quantity and improve the degree of privacy protection for workers, a new algorithm is proposed in this paper, which can improve the efficiency of task allocation by disturbing the location of workers and task requesters through k-anonymity. Experiments show that the algorithm can improve the efficiency of task allocation effectively, reduce the task waiting time, improve the privacy of workers and task location, and improve the efficiency of space crowdsourcing service when facing a large quantity of tasks.

Degraded or Just Dusty? Examining Ecological Change in Arid Lands

BioScience ◽  
2019 ◽  
Vol 69 (7) ◽  
pp. 508-522
Author(s):  
Jennifer L Silcock ◽  
Rod J Fensham
Keyword(s):  
Historical Record ◽  
Rangeland Management ◽  
Rare Plant ◽  
Ecological Change ◽  
Remote Areas ◽  
Comprehensive Management ◽  
Ecological History ◽  
Abrupt Changes ◽  
History Of

AbstractThe ecological history of rangelands is often presented as a tale of devastation, where fragile drylands are irreversibly degraded through inappropriate land use. However, there is confusion about how to recognize and measure degradation, especially in low-productivity environments characterized by extreme natural variability and where abrupt and comprehensive management upheavals preclude benchmarks. These issues have important consequences for rangeland management programs, which are typically founded on presumptions of substantial and ongoing degradation from former “natural” states. We explore complementary approaches to critically assess degradation: the historical record, long-term grazing exclosures, surveys for potentially rare and sensitive plant species, and assessment of water-remote areas in relation to rare plant occurrence. Employing these approaches in inland Australia, we show that prevailing paradigms have become entrenched despite being inconsistent with empirical evidence. Our methodology can be applied to drylands with abrupt changes in management and contentious ecological narratives.

Petroleum investors could cut their losses in Yemen

2017 ◽  
Keyword(s):  
Civil War ◽  
Oil And Gas ◽  
Oil Production ◽  
Liquefied Natural Gas ◽  
Solar Panels ◽  
Content Type ◽  
Remote Areas ◽  
Post Conflict ◽  
Oil And Gas Sector

Subject Yemeni oil production. Significance The oil and gas sector -- which was in any case in long-term decline, owing to a lack of investment -- suffered serious disruption after civil war broke out in March 2015, with oil, liquefied natural gas (LNG) and refining facilities closed, and ports blockaded to prevent delivery of oil products. The internationally recognised government of President Abd Rabbu Mansour Hadi has renewed efforts to encourage a recovery in oil production since late 2016, but these are hampered by the civil war and lawlessness in remote areas. Impacts Saudi Arabia and the UAE will be the main sources of oil imports, probably on concessional terms. Hydrocarbon exports will not provide sufficient finance for post-conflict reconstruction. Exports of LNG are unlikely to restart before 2020 at the earliest. A crisis of power provision will expand the market for small solar panels.

scholarly journals Stakeholders engagement for solving mobility problems in touristic remote areas from the Baltic Sea Region

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253166
Author(s):  
Halina Kiryluk ◽  
Ewa Glińska ◽  
Urszula Ryciuk ◽  
Kati Vierikko ◽  
Ewa Rollnik-Sadowska
Keyword(s):  
Baltic Sea ◽  
Stakeholder Participation ◽  
Level Of Involvement ◽  
Sustainable Solutions ◽  
Remote Areas ◽  
Stakeholder Groups ◽  
Baltic Sea Region ◽  
The Baltic ◽  
Transport Problems

Stakeholder participation is particularly important when dealing with mobility problems in touristic remote areas, in which there is a need to find sustainable solutions to increase transport accessibility. However, the literature lacks research linking the issues of establishing stakeholder groups with the most desirable level of involvement and methods ensuring involvement on the indicated level. The aim of the paper is to fill this gap on example of project dedicated to six Baltic Sea Regions. In the first stage key stakeholder groups were identified, then different methods and tools were proposed depending on levels of engagement of given group of stakeholders on solving the problems of local mobility. Two research methods were implemented–the case study and the content analysis of documents. The results of the research point to the existence of five key groups of stakeholders interested in solving transport problems of touristic remote areas: authorities, business and service operators, residents, visitors and others (like experts and NGOs). Among the five–authorities and business representatives–should be to a higher degree engaged. However, the main conclusion is that engagement local government units, when developing their own, long-term strategies for social participation, should adapt the selection of participation methods and techniques to a specific target group and the desired level of their involvement so as to include stakeholders in the co-decision processes as effectively as possible and achieve effective regional co-management.

Sign in / Sign up

Export Citation Format

Share Document