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14th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC)

作者： Hechmi, Jridi Mohamed Zrelli, Amira Kbida, Mohamed Khlaifi, Hacen Ezzedine, Tahar Commun Syst Lab SysCom Tunis Tunisia Natl Engn Sch Tunis Tunis Tunisia Univ Tunis El Manar Tunis Tunisia Univ Gabes Natl Engn Sch Gabes Gabes Tunisia

ISBN: (纸本)9781538620700

coverage and connectivity in wireless sensor networks (WSN) have been greatly studied in several researches. Actually, WSN have been applied in open-pit mines and underground tunnels to detect damages at real times. In this article, we treat the case of open-pit mines in Tunisia. Health mines monitoring use largely wireless sensors. Wireless Open-pit Mines Health Monitoring (WMHM) applications have a crucial importance for the company as a whole. We aim to get a wireless sensor network with higher degree of coverage, means having well detection and achieved connectivity. Thus, it is clear that sensor arrays face a number of challenges due to coverage such as the number of sensor nodes to be deployed, the deployment method in open-pit mining and underground tunnel, the communication and detection ranges associated with the sensor nodes, etc. In this paper we address the problem of wsn connectivity and coverage in mining area and tunnels. We study and detection and their impact on coverage in wireless sensor networks. We propose models which can be used as a suitable solution for tunnels monitoring system.

关键词： sensing coverage connectivity deployment sensing model probabilistics sensing model network coverage

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Vehicle-Based Bi-Objective Crowdsourcing

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2018年第10期19卷 3420-3428页

作者： Zhang, Xinglin Yang, Zheng Liu, Yunhao South China Univ Technol Sch Comp Sci & Engn Guangzhou 510006 Guangdong Peoples R China Tsinghua Univ Sch Software Beijing Peoples R China Tsinghua Univ Tsinghua Natl Lab Informat Sci & Technol Beijing 100084 Peoples R China

Mobile crowdsourcing is an emerging complex problem solving paradigm that makes use of pervasive mobile devices equipped with multi-functional sensors. Recently, vehicles have also been increasingly adopted for mobile crowdsourcing, as the vehicles, as well as drivers, can provide diverse sensing capability and predictable mobility. Existing mobile crowdsourcing algorithms mostly recruit workers to complete one kind of sensing tasks, i.e., location-based query tasks or automatic sensing tasks. In this paper, we investigate the possibility of recruiting a set of vehicles to simultaneously complete these two categories of tasks, so as to maximize the sensing utility of each participant. We first model the worker recruitment for vehicle-based crowdsourcing as a bi-objective optimization problem with respect to the sensing capability and predictable mobility of vehicles. The recruitment problem is proven to be NP-hard, and we design two heuristic algorithms based on the bi-objective greedy strategy and the multi-objective genetic algorithm to find the solutions. The experimental results with a real-world traffic trace data set show that the proposed algorithms outperform some existing algorithms in finding solutions that maximize both objectives.

关键词： Mobile crowdsoucing vehicle-based crowdsourcing worker recruitment task reliability sensing coverage

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Optimizing Sensor Network coverage and Regional Connectivity in Industrial IoT Systems

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IEEE SYSTEMS JOURNAL 2017年第3期11卷 1351-1360页

作者： Dou, Runliang Nan, Guofang Tianjin Univ Dept Informat Management & Management Sci Tianjin 300072 Peoples R China Tianjin Univ Inst Syst Engn Tianjin 300072 Peoples R China

Internet of things (IoT) technologies have been widely used in industrial systems to control the manufacturing environment and monitor production lines. An industrial IoT system can perform data collection and processing and provide services to production decisions. However, the challenge remains for the IoT system to ensure the quality and quantity of data collected from sensor networks. To address the issue, an independent regional connectivity model is presented in the context of sensor networks to guarantee global connectivity with satisfied quality of data service. We also investigate the optimization of sensing coverage and regional connectivity in an industrial IoT system in both deterministic and random deployment. First, a novel optimal network that achieves full sensing coverage and guarantees regional connectivity is presented for deterministic deployment. The optimal pattern is derived, and the advantage of the proposed model is analyzed. Second, based on the assumption that the given sensors are deployed as a Poisson point process, theoretical analysis is presented to determine the minimum number of sensors used for random deployment to achieve certain coverage and connectivity degrees. Numerical results show that our proposed models are efficient for the application of sensor networks in industrial IoT systems.

关键词： Industrial internet of things (IoT) system quality of data service regional connectivity sensing coverage sensor networks

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A survey on energy efficient coverage protocols in wireless sensor networks

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JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES 2017年第4期29卷 428-448页

作者： More, Avinash Raisinghani, Vijay NMIMS Sch Technol Management & Engn Dept Commun Engn Bombay Maharashtra India NMIMS Sch Technol Management & Engn Dept Informat Technol Bombay Maharashtra India

A Wireless Sensor Network (WSN) is used to monitor an area for events. Each node in the WSN has a sensing range and a communication range. The sensing coverage of a sensor node is the area determined by the sensing range of the sensor node. sensing coverage of the network is the collective coverage of the sensor nodes in a WSN. Sufficient number of sensor nodes need to be deployed to ensure adequate coverage of a region. Further, since sensor nodes have limited battery life, it is also essential to reduce the energy consumption. This would help improve the network lifetime and thus the coverage lifetime. To reduce energy consumption in the WSN, some of the nodes with overlapping sensing areas could be turned off using a coverage optimization protocol. In this paper, we discuss various coverage optimization protocols. These protocols are broadly classified as clustering and distributed protocols. Further, these protocols are classified based on the type of sensing model used, node location information, and mechanism used to determine neighboring node information (based on probe or computational geometry). In this paper, we review the key coverage optimization protocols and present open research issues related to energy efficient coverage. (C) 2016 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University.

关键词： Wireless sensor networks Deterministic sensing model Probabilistic sensing model sensing coverage Radio coverage Energy efficiency

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Enhanced Deployment Algorithms for Heterogeneous Directional Mobile Sensors in a Bounded Monitoring Area

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2017年第3期16卷 744-758页

作者： Lin, Ting-Yu Santoso, Hendro Agus Wu, Kun-Ru Wang, Gui-Liu Natl Chiao Tung Univ Dept Elect & Comp Engn Inst Commun Engn Hsinchu Taiwan Natl Chiao Tung Univ Dept Elect & Comp Engn Hsinchu Taiwan

Good deployment of sensors empowers the network with effective monitoring ability. Different from omnidirectional sensors, the coverage region of a directional sensor is determined by not only the sensing radius (distance), but also its sensing orientation and spread angle. Heterogeneous sensing distances and spread angles are likely to exist among directional sensors, to which we refer as heterogeneous directional sensors. In this paper, we target on a bounded monitoring area and deal with heterogeneous directional sensors equipped with locomotion and rotation facilities to enable the sensors self-deployment. Two Enhanced Deployment Algorithms, EDA-I and EDA-II, are proposed to achieve high sensing coverage ratio in the monitored field. EDA-I leverages the concept of virtual forces (for sensors movements) and virtual boundary torques (for sensors rotations), whereas EDA-II combines Voronoi diagram directed movements and boundary torques guided rotations. EDA-I computations can be centralized or distributed that differ in required energy and execution time, whereas EDA-II only allows centralized calculations. Our EDA-II outperforms EDA-I in centralized operations, while EDA-I can be adapted into a distributed deployment algorithm without requiring global information and still achieves comparably good coverage performance to its centralized version. To the best of our knowledge, this is perhaps the first work to employ movements followed by rotations for sensors self-deployment. Performance results demonstrate that our enhanced deployment mechanisms are capable of providing desirable surveillance level, while consuming moderate moving and rotating energy under reasonable execution time.

关键词： Directional sensors deployment sensing coverage virtual boundary torques wireless sensor network

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Critical Density in Adjustable-Orientation Directional Sensor Networks Using Continuum Percolation 2nd

Critical Density in Adjustable-Orientation Directional Senso...

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2nd International Conference on Computer Science and Computational Intelligence (ICCSCI)

作者： Khanjary, Mohammad Sabaei, Masoud Meybodi, Mohammad Reza Islamic Azad Univ Sci & Res Branch Dept Comp Engn Tehran Iran Amirkabir Univ Technol Comp Engn & Informat Technol Dept Tehran Iran

ISBN: (纸本)9781510849914

In this paper, we consider adjustable-orientation directional sensor networks (ADODSNs) in which nodes are deployed based on Poisson Point Process and the orientation of sensor nodes is distributed between 0 and 2 pi independently and uniformly. Despite of other kinds of directional sensor networks, orientation of sensor nodes in ADODSNS could be adjusted after deployment by using an algorithm. We call this kind of sensor networks, adjustable-orientation directional sensor networks. We calculate the critical density of nodes for both sensing coverage and network connectivity in such networks using continuum percolation where field of-view angles of sensors could be between 0 and pi. Critical density is the infimum density of nodes to prepare barrier coverage. Also, extensive simulations have been conducted to represent the results. The findings of this research could be used for offline design of directional sensor networks and also its online algorithms such as scheduling, coverage and tracking. (C) 2017 The Authors. Published by Elsevier B.V.

关键词： Critical density continuum percolation sensing coverage network connectivity adjustable-orientation directional sensor networks

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Critical Density in Adjustable-Orientation Directional Sensor Networks Using Continuum Percolation

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Procedia Computer Science 2017年 116卷 548-555页

作者： Mohammad Khanjary Masoud Sabaei Mohammad Reza Meybodi Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Computer Engineering and Information Technology Department Amirkabir University of Technology Tehran Iran

In this paper, we consider adjustable-orientation directional sensor networks (ADODSNs) in which nodes are deployed based on Poisson Point Process and the orientation of sensor nodes is distributed between 0 and 2π independently and uniformly. Despite of other kinds of directional sensor networks, orientation of sensor nodes in ADODSNS could be adjusted after deployment by using an algorithm. We call this kind of sensor networks, adjustable-orientation directional sensor networks. We calculate the critical density of nodes for both sensing coverage and network connectivity in such networks using continuum percolation where field-of-view angles of sensors could be between 0 and π. Critical density is the infimum density of nodes to prepare barrier coverage. Also, extensive simulations have been conducted to represent the results. The findings of this research could be used for offline design of directional sensor networks and also its online algorithms such as scheduling, coverage and tracking.

关键词： Critical density continuum percolation sensing coverage network connectivity adjustable-orientation directional sensor networks

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Quantifying sensing coverage and Data Delivery Delay in Mobile Sensor Networks

Quantifying Sensing Coverage and Data Delivery Delay in Mobi...

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IEEE Wireless Communications and Networking Conference (WCNC)

作者： Hara, Takahiro Osaka Univ Dept Multimedia Eng Suita Osaka 565 Japan

ISBN: (纸本)9781612842547

In mobile wireless sensor networks where sensor nodes are general mobile terminals equipped by vehicles and pedestrians, it is difficult for applications to estimate coverages of sensor nodes due to their mobility. In addition, when a network is sparse, it is also difficult to estimate delivery delays of sensor readings to the sink node(s) because delays depend on both the distribution of nodes and the change of the network topology. These two factors, sensing coverages and data delivery delays, are very significant when designing applications and underlying protocols. In this paper, we aim to quantify sensing coverages and data delivery delays in mobile sensor networks. We propose several general metrics to quantify these two factors for a given mobility pattern. We also report results of some simulation experiments that measure the proposed metrics assuming several typical mobility models.

关键词： Mobile wireless sensor networks sensing coverage data delivery delay mobility model

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Network Topology Management Optimization of Wireless Sensor Network (WSN) 12th

Network Topology Management Optimization of Wireless Sensor ...

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12th International Conference on Intelligent Computing (ICIC)

作者： Ng, Chun Kit Wu, Chun Ho Ip, W. H. Zhang, J. Ho, G. T. S. Chan, C. Y. Hong Kong Polytech Univ Dept Ind & Syst Engn Kowloon Hong Kong Peoples R China South China Univ Technol Sch Comp Sci & Engn Guangzhou 510006 Guangdong Peoples R China

ISBN: (纸本)9783319422947;9783319422930

Network topology management is one of the critical concerns when designing a Wireless Sensor Network (WSN). In this research, four basic factors including the total production cost, sensing coverage, network connectivity and fault tolerance are considered. A mathematical model is proposed to optimize four optimization metrics corresponding to the four design factors. This approach attaches a weighting coefficient to each optimization metric to adjust their importance in the optimization model. To solve the proposed model, an Ant Colony Optimization (ACO) based metaheuristics method, called MAX-MIN Ant System (MMAS) is used. In the experiment, Greedy algorithm (Greedy) and Genetic Algorithm (GA) are also adopted to solve the proposed model. The results indicate that MMAS shows a satisfactory performance on solving the proposed model, which there is an improvement on the number of sensor nodes comparing to the result of Greedy, and a better fitness value than the result of GA.

关键词： WSNs sensing coverage Network connectivity Fault tolerance ACO MMAS

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Opportunistic Geographic Forwarding in Wireless Sensor Networks for Critical Rare Events 41

Opportunistic Geographic Forwarding in Wireless Sensor Netwo...

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41st IEEE Conference on Local Computer Networks (LCN)

作者： Harrison, David C. Seah, Winston K. G. Yu, Hang Rayudu, Ramesh K. Victoria Univ Wellington Sch Engn & Comp Sci Wellington New Zealand

ISBN: (纸本)9781509020546

Wireless sensor networks for rarely occurring critical events must maintain sensing coverage and low latency network connectivity to ensure event detection and subsequent rapid propagation of notification messages. Existing geographic forwarding algorithms have proved successful in providing energy efficient network connectivity for arbitrary topologies where sensing coverage is not guaranteed. This paper proposes a location aware algorithm for Swift Opportunistic Forwarding of Infrequent properties common to sensing networks providing perfect area coverage. The algorithm is shown to deliver more rapid message propagation than two established, general purpose geographic forwarding algorithm in optimally and randomly placed networks of varied sensing node density. Further, the algorithm is shown to maintain this advantage when deployed in a coverage preserving, duty-cycled sensing network where nodes may power down whilst the network is actively forwarding event notification messages.

关键词： Rare event detection sensing coverage opportunistic forwarding wireless sensor networks

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