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A practical method for connectivity and coverage reliability analysis for linear wireless sensor networks

AD HOC NETWORKS 2023年 146卷

作者： Yang, Haibo Shenyang Univ Technol Shenyang 110167 Liaoning Peoples R China

Linear Wireless Sensor Networks (LWSNs) are the most suitable wireless sensor networks (WSNs) for monitoring the condition of infrastructures with linear typologies, e.g., railways, gas, or oil pipelines. Reliability of LWSNs is crucial for such applications due to their safety-critical or mission-critical nature. To this end, LWSNs of different designs need to be compared in terms of reliability to ascertain high-cost performance. Connectivity and coverage are fundamental metrics used to measure the reliability of LWSNs. However, to the best of our knowledge, there are no proper methods or tools to evaluate the reliability of LWSNs concurrently in terms of connectivity and coverage. In this paper, by reducing the size of system state space depending on the characteristics of LWSNs, we present a practical method for concurrent reliability analysis in terms of connectivity and coverage for LWSNs based on hybrid models of binary decision diagrams and divide-and-conquer schemes. The proposed method can be used to assess various LWSNs, e.g., networks with one or two sink nodes, as well as flat-based or cluster-based networks. Moreover, transmission and coverage ranges can be assigned to sensor nodes using this method. Case studies are presented to substantiate the viability of the proposed model, and some beneficial results are deduced, which can be considered to serve as basic principles for LWSN-design to ensure high-cost performance.

关键词： Reliability analysis Linear wireless sensor networks (LWSNs) Network connectivity sensing coverage Time to failure

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A Deep Learning-Based Mobile Crowdsensing Scheme by Predicting Vehicle Mobility

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2021年第7期22卷 4648-4659页

作者： Zhu, Xiaoyu Luo, Yueyi Liu, Anfeng Tang, Wenjuan Bhuiyan, Md. Zakirul Alam Cent South Univ Sch Comp Sci & Engn Changsha 410083 Peoples R China Cent South Univ Sch Math & Stat Changsha 410083 Peoples R China Cent South Univ Network Resources Management & Trust Evaluat Key Changsha 410083 Peoples R China Hunan Univ Coll Comp Sci & Elect Engn Changsha 410082 Peoples R China Fordham Univ Dept Comp & Informat Sci New York NY 10458 USA

Mobile crowdsensing is an emerging paradigm that selects users to complete sensing tasks. Recently, mobile vehicles are adopted to perform sensing data collection tasks in the urban city due to their ubiquity and mobility. In this article, we study how mobile vehicles can be optimally selected in order to collect maximum data from the urban environment in a future period of tens of minutes. We formulate the recruitment of vehicles as a maximum data limited budget problem. The application scenario is generalized to a realistic online setting where vehicles are continuously moving in real-time and the data center decides to recruit a set of vehicles immediately. A deep learning-based scheme through mobile vehicles (DLMV) is proposed to collect sensing data in the urban environment. We first propose a deep learning-based offline algorithm to predict vehicle mobility in a future time period. Furthermore, we propose a greedy online algorithm to recruit a subset of vehicles with a limited budget for the NP-Complete problem. Extensive experimental evaluations are conducted on the real mobility dataset in Rome. The results have not only verified the efficiency of our proposed solution but also validated that DLMV can improve the quantity of collected sensing data compared with other algorithms.

关键词： Mobile crowdsensing deep learning vehicle recruitment sensing coverage data collection

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Review on Energy Efficient Wireless Sensor Network Protocols 21

Review on Energy Efficient Wireless Sensor Network Protocols

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21st IEEE International Conference on Environment and Electrical Engineering / 5th IEEE Industrial and Commercial Power Systems Europe (EEEIC/I and CPS Europe)

作者： Ravinder, M. Kulkarni, Vikram MPSTME NMIMS Dept Informat Technol Mumbai Maharashtra India

ISBN: (纸本)9781665436137

Modern trends in advanced data communications lead to many improvements in the wireless sensor network (WSN) deployment. sensing the data from the different environments is necessary to monitor and control the applications. It needs to organize a sufficient number of sensor nodes. In WSN, the small-sized sensor node is working with a very small battery with limited energy. Replacing the battery or recharging the battery is not feasible. So, the energy-efficient operation of WSN is the key factor. Many researchers have proposed WSN protocols for enhancing the lifetime and optimize the energy of WSN. In this paper, the performance of energy-efficient Algorithms like LEACH, PEGASIS, SEP, DDEEC, EESAA, IAATPC and EESCA are compared. Based on the simulation carried in MATLAB, the stability period of EESCA is enhanced by approximately 45%, 50% and network lifetime 44%, 65% as compared to LEACH and PEGASIS protocols respectively.

关键词： Wireless sensor network Energy Efficiency sensing coverage Radio coverage

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MOONGA: Multi-Objective Optimization of Wireless Network Approach Based on Genetic Algorithm

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IEEE ACCESS 2020年 8卷 105793-105814页

作者： Bouzid, S. E. Seresstou, Y. Raoof, K. Omri, M. N. Mbarki, M. Dridi, C. Univ Sousse ISITCom MARS Res Lab LR 17ES05 Sousse 4011 Tunisia Le Mans Univ UMR CNRS 6613 LAUM Lab F-72017 Le Mans France Ctr Res Microelect & Nanotechnol Sousse LR16CRMN01 NANOMISENE Lab Technopole Sousse Sousse 4054 Tunisia

In high-density wireless sensor networks, the quality of service in terms of sensing coverage, connectivity, lifetime, energy consumption and cost is closely linked to the position of the nodes in the network. Consequently, the placement of a large number of nodes while simultaneously optimizing several measurements is considered to be an NP-difficult problem. In this article, we propose a new approach to optimizing the problem of node placement. To achieve this objective, we started by studying the main approaches existing in the literature in order to identify their limits. In order to have accurate solutions, existing physical models are studied, improved, and validated with real measurements. Then, we proposed a new formulation of the deployment optimization problem as a constrained multi-objective optimization problem. This allowed us to develop an optimizer, based on the multi-objective genetic algorithm and the weighted sum optimization method, which we called MOONGA (multi-objective wireless network optimization using the genetic algorithm). This optimizer makes it possible to generate an optimal deployment according to the topology, the environment, the specifications of different applications and the preferences of the network designer users. The algorithms that we have developed and implemented within the framework of experiments carried out on test data in order to prove the effectiveness of our approach. The analysis of the results found confirm well the interest and the superiority of our proposed approach compared to main studied approaches.

关键词： WSN deployment multi-objective optimization sensing coverage connectivity cost genetic algorithm

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Use of multiple mobile sinks in wireless sensor networks for large-scale areas

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IET WIRELESS SENSOR SYSTEMS 2020年第4期10卷 175-180页

作者： Al-Behadili, Hasanain A. H. AlWane, Saddam K. A. Al-Yasir, Yasir I. A. Parchin, Naser Ojaroudi Olley, Peter Abd-Alhameed, Raed A. Univ Misan Dept Elect Engn Amara Misan Iraq Univ Technol Baghdad Dept Comp Engn Baghdad Iraq Univ Bradford Fac Engn & Informat Bradford W Yorkshire England

sensing coverage and network connectivity are two of the most fundamental issues to ensure that there are effective environmental sensing and robust data communication in a wireless sensor network (WSN) application. Random positioning of nodes in a WSN may result in random connectivity, which can cause a large variety of key parameters within the WSN. For example, data latency and battery lifetime can lead to the isolation of nodes, which causes a disconnection between nodes within the network. These problems can be avoided by using mobile data sinks, which travel between nodes that have connection problems. This research aims to design, test, and optimise a data collection system that addresses the isolated node problem, as well as to improve the connectivity between sensor nodes and base station, and to reduce the energy consumption simultaneously. In addition, this system will help to solve several problems such as the imbalance of delay and hotspot problems. The effort in this study is focused on the feasibility of using the proposed methodology in different applications. More ongoing experimental work will aim to provide a detailed study for advanced applications, e.g. transport systems for civil purposes.

关键词： energy consumption wireless sensor networks data communication isolated node problem sensor nodes hotspot problems multiple mobile sinks wireless sensor networks large-scale areas sensing coverage effective environmental sensing robust data communication wireless sensor network application WSN random connectivity battery lifetime mobile data sinks connection problems data collection system random node positioning data latency base station energy consumption

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Trading sensing coverage for an extended network lifetime

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TELECOMMUNICATION SYSTEMS 2013年第4期52卷 2667-2675页

作者： Lim, Jong Chern Bleakley, C. J. Univ Coll Dublin Sch Comp Sci & Informat Complex & Adapt Syst Lab Dublin 2 Ireland

One of the main benefits of using Wireless Sensor Networks (WSNs) is that they can be deployed in remote locations without any prior infrastructure. Because of this nodes are normally battery powered. This limits the lifetime of the network. In this paper, we propose a novel method of scheduling nodes based on a user's sensing coverage requirement. Through the use of our proposed scheduling algorithm (Ncut-GA), it is shown that the duration for which the user's coverage requirement is met can be extended. When compared with a previously published algorithm (Greedy-MSC), the proposed algorithm is able to increase coverage duration by up to 80%. Furthermore it is also shown that the time until the first node dies can be improved by up to 200% through the use of Ncut-GA.

关键词： sensing coverage Scheduling Genetic algorithm

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Critical density for coverage and connectivity in non-orientation directional sensor network

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INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS 2020年第6期16卷

作者： Kang, Lin Dong, Zengshou Qi, Yanjie Taiyuan Univ Sci & Technol Sch Elect Informat Engn Taiyuan 030024 Peoples R China

Both coverage and connectivity are important problems in wireless sensor networks. As more and more non-orientation sensors are continuously added into the region of interest, the size of covered component and connected component increases;at some point, the network can achieve an entire coverage and full connectivity after which the network percolates. In this article, we analyze the critical density in non-orientation directional sensor network in which the orientations of the sensors are random and the sensors are deployed according to the Poisson point process. We propose an approach to compute the critical density in such a network. A collaborating path is proposed with the sum of field-of-view angles of two collaborating sensors being pi. Then a correlated model of non-orientation directional sensing sectors for percolation is proposed to solve the coverage and connectivity problems together. The numerical simulations confirm that percolation occurs on the estimated critical densities. It is worth mentioning that the theoretical analysis and simulation results give insights into the design of directional sensor network in practice.

关键词： Non-orientation directional sensor critical density continuum percolation sensing coverage network connectivity

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A Secure and Privacy Preserving Partial Deterministic RWP Model to Reduce Overlapping in IoT sensing Environment

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IEEE ACCESS 2019年 7卷 39702-39716页

作者： Hosen, A. S. M. Sanwar Singh, Saurabh Mariappan, Vinayagam Kaur, Maninder Cho, Gi Hwan Chonbuk Natl Univ Div Comp Sci & Engn Jeonju 54896 South Korea VeNMSOL Technol R&D Dept Chennai Tamil Nadu India Thapar Inst Engn & Technol Deemed Univ Dept Comp Sci & Engn Patiala 147004 Punjab India

The idea of the Internet of Things (IoT) was developed in parallel to wireless sensor networks (WSNs). In a mobile WSN, a sensor node is generally assumed to move around randomly in direction and speed. Thus, a random waypoint is commonly used for node mobility modeling. Unfortunately, it does not consider the overlapping sensing coverage (OSC) at continuous moves or at a given time of sensor nodes. On top of this, there is no security mechanism to authenticate the sensor nodes and their privacy. Thus, results in a higher probability of occurring OSC in the network and the threats to the network through inside and outside attackers. To resolve these issues in 3D WSNs, this paper proposes a secure and privacy-preserving node mobility model that the nodes take part in periodic rounds securely. An ID-based authentication mechanism for joining nodes in the network and detection of the malicious node based on their survival strategies are proposed in the model. Moreover, the decision making of a next destination during a pause time in a round is three-folded. First, a set of member nodes are elected. Then, all nodes predict their prospective destinations randomly and the member nodes broadcast their prospective destinations' information to neighbors. Finally, the neighborhood nodes adjust their prospective destinations considering the broadcasted information, in order to reduce the OSC in the network. The simulation experiments show that the proposed model reduces the OSC in the network and detects the malicious nodes, thus, results in a higher effective sensing coverage rate of the network in a secure way.

关键词： Internet of things wireless sensor network security privacy random walk sensing coverage overlapping sensing coverage effective sensing coverage rate

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Guaranteed lifetime protocol for IoT based wireless sensor networks with multiple constraints

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AD HOC NETWORKS 2020年 104卷 102158-102158页

作者： Shah, Babar Abbas, Ali Ali, Gohar Iqbal, Farkhund Khattak, Asad Masood Alfandi, Omar Kim, Ki-Il Zayed Univ Coll Technol Innovat Abu Dhabi U Arab Emirates Middle East Coll Dept Comp Muscat Oman Sur Univ Coll Dept Informat Syst & Technol Sur Oman Chungnam Natl Univ Dept Comp Sci & Engn Daejeon 34134 South Korea

Over the past two decades, the subject of extension of the lifetime of Wireless Sensor Networks (WSN) based on the Internet of Things (IoT) has been thoroughly investigated by researcher. As WSN, and its new form based on IoT, are increasingly being deployed in time-critical applications, users require certain network lifetime guarantees to satisfy application requirements. Few research efforts in the past have focused on guaranteeing the IoT-based network lifetime. Most such efforts pay little or no attention to other network performance indicators such as sensing coverage and network connectivity. To address this challenge, this work proposes a new centralized approach that analyzes a network's energy consumption to optimize node duty cycles. In the proposed scheme, the sink node periodically assigns an active/sleep role to each node for the next network cycle by coupling the residual energy, total active time, and possible coverage area to guarantee their lifetimes. We show through extensive simulation that the proposed guaranteed lifetime protocol achieves less average end-to-end delay and better packet delivery ratio when compared to its best rival protocols formulated in past research, i.e., the CERACC, A-Mac, and coverage Preserving protocols. (C) 2020 Elsevier B.V. All rights reserved.

关键词： Guaranteed network lifetime sensing coverage Network connectivity Wireless sensor networks Internet of things

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Energy-Efficient Autonomous Navigation of Solar-Powered UAVs for Surveillance of Mobile Ground Targets in Urban Environments

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ENERGIES 2020年第21期13卷 5563页

作者： Huang, Hailong Savkin, Andrey, V Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia

In this paper, we consider the navigation of a group of solar-powered unmanned aerial vehicles (UAVs) for periodical monitoring of a set of mobile ground targets in urban environments. We consider the scenario where the number of targets is larger than that of the UAVs, and the targets spread in the environment, so that the UAVs need to carry out a periodical surveillance. The existence of tall buildings in urban environments brings new challenges to the periodical surveillance mission. They may not only block the Line-of-Sight (LoS) between a UAV and a target, but also create some shadow region, so that the surveillance may become invalid, and the UAV may not be able to harvest energy from the sun. The periodical surveillance problem is formulated as an optimization problem to minimize the target revisit time while accounting for the impact of the urban environment. A nearest neighbour based navigation method is proposed to guide the movements of the UAVs. Moreover, we adopt a partitioning scheme to group targets for the purpose of narrowing UAVs' moving space, which further reduces the target revisit time. The effectiveness of the proposed method is verified via computer simulations.

关键词： unmanned aerial vehicles (UAVs) autonomous systems solar-powered UAVs control of electric vehicles applications of solar powered vehicles energy-efficient UAV navigation sensing coverage dynamic coverage surveillance and monitoring rapidly-exploring random tree (RRT)

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