Energy efficient clustering for WSN-based structural health monitoring

Li, Xuefeng; Cao, Jiannong; Lai, Steven; Yang, Chao; Wu, Hejun; Xu, You Lin

doi:10.1109/infcom.2011.5935109

Cited by 80 publications

(70 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…While WSNs are gradually receiving attention from the CSE as an attractive tool, many engineering applications (e.g., SHM) are receiving attention from the computer science domain. Some research efforts on this overlapping area have been presented in the literature [Jindal and Liu 2012;Liu et al 2011b;Hackmann et al 2013;Peckens and Lynch 2013;Bhuiyan et al 2012b;Ceriotti et al 2009]. A state-of-the-art technique verified on the Golden Gate Bridge (GGB) and applications of WSNs for SHM can be found in Kim et al [2007], Ceriotti et al [2009], and Wijetunge et al [2009].…”

Section: Existing Wns-based Shm Approachesmentioning

confidence: 99%

“…There are a number of WSN approaches for SHM from both CSE and computer science domains that have assumed a hierarchical WSN architecture for structural monitoring in recent years [Jindal and Liu 2012;Liu et al 2011b;Sima et al 2011;Nie and Li 2011;Bhuiyan et al 2012b;Hackmann et al 2013;Liu et al 2011a]. However, none of these approaches focuses on how to deploy a WSN deployment in a hierarchical manner.…”

Section: Hierarchies In Wsns For Shm Approachesmentioning

confidence: 99%

“…Although it offers a trade-off between the computation and communication capacities, it does not reveal the details, such as connectivity, or coverage in the hierarchical architecture. A pure hierarchical Cluster-based SHM (C-SHM for short) considers a fundamental problem in SHM: mode shape analysis (see Definition 3.2) in clusters [Liu et al 2011b]. In each cluster, the vibration characteristics are identified and then assembled together.…”

Section: Hierarchies In Wsns For Shm Approachesmentioning

confidence: 99%

See 2 more Smart Citations

Sensor Placement with Multiple Objectives for Structural Health Monitoring

Bhuiyan

Wang

Cao

et al. 2014

ACM Trans. Sen. Netw.

Self Cite

View full text Add to dashboard Cite

Structural health monitoring (SHM) refers to the process of implementing a damage detection and characterization strategy for engineering structures. Its objective is to monitor the integrity of structures and detect and pinpoint the locations of possible damages. Although wired network systems still dominate in SHM applications, it is commonly believed that wireless sensor network (WSN) systems will be deployed for SHM in the near future, due to their intrinsic advantages. However, the constraints (e.g., communication, fault tolerance, energy) of WSNs must be considered before their deployment on structures. In this article, we study the methodology of sensor placement optimization for WSN-based SHM. Sensor placement plays a vital role in SHM applications, where sensor nodes are placed on critical locations that are of civil/structural engineering importance. We design a three-phase sensor placement approach, named TPSP, aiming to achieve the following objectives: finding a high-quality placement for a given set of sensors that satisfies the engineering requirements, ensuring communication efficiency and reliability and low placement complexity, and reducing the probability of failures in a WSN. Along with the sensor placement, we enable sensor nodes to develop "connectivity trees" in such a way that maintaining structural health state and network connectivity, for example, in case of a sensor fault, can be done in a distributed manner. The trees are constructed once (unlike dynamic clusters or trees) and do not incur additional communication costs for the WSN. We optimize the performance of TPSP by considering multiple objectives: low communication cost, fault tolerance, and lifetime prolongation. We validate the effectiveness and performance of TPSP through both simulations using real datasets and a proof-of-concept system on a physical structure.

show abstract

Section: Existing Wns-based Shm Approachesmentioning

confidence: 99%

Section: Hierarchies In Wsns For Shm Approachesmentioning

confidence: 99%

Section: Hierarchies In Wsns For Shm Approachesmentioning

confidence: 99%

See 1 more Smart Citation

Sensor Placement with Multiple Objectives for Structural Health Monitoring

Bhuiyan

Wang

Cao

et al. 2014

ACM Trans. Sen. Netw.

Self Cite

View full text Add to dashboard Cite

show abstract

“…WSNs, that feature high flexibililty, good scalability and reliability, are emerging as one of the most promising solutions to sense, collect, process and disseminate information from various environmental phenomena. WSN has been widely utilized in various fields including transportation [1], environmental monitoring [2], healthcare [3], battlefield monitoring and surveillance [4], inventory tracking [5], security monitoring [6], civil applications [7,8], and so on. It consists of tiny wireless-capable sensor devices that are battery powered, sense the surrounding environment and have wireless communication, data storage, computation and signal processing capabilities.…”

Section: Introductionmentioning

confidence: 99%

Extended Batches Petri Nets Based System for Road Traffic Management in WSNs

Riouali

Benhlima

Bah

2017

JSAN

View full text Add to dashboard Cite

Abstract:One of the most critical issues in modern cities is transportation management. Issues that are encountered in this regard, such as traffic congestion, high accidents rates and air pollution etc., have pushed the use of Intelligent Transportation System (ITS) technologies in order to facilitate the traffic management. Seen in this perspective, this paper brings forward a road traffic management system based on wireless sensor networks; it introduces the functional and deployment architecture of the system and focuses on the analysis component that uses a new extension of batches Petri nets for modeling road traffic flow. A real world implementation of visualization and data analysis components were carried out.

show abstract

“…The architecture for WSN consists a huge number of sensor nodes, one or more base stations which are located close or far away from the sensing region [2]. Sensor node has limited processing capabilities and limited communication abilities in a wireless communication units [3,4]. Due to the compact size of sensor nodes, it is usually constrained in terms of the resources available to them.…”

Section: Introductionmentioning

confidence: 99%