Iso-Map: Energy-Efficient Contour Mapping in Wireless Sensor Networks

Liu, Yunhao; Li, Mo

doi:10.1109/icdcs.2007.115

Cited by 71 publications

(65 citation statements)

References 16 publications

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“…Optimal data association is computationally expensive and requires significant bandwidth for communication [12]. To face this problems several approaches have been proposed by employing mobile sinks and by improving the cooperation between nodes [13] and by iterative partitioning and hierarchical clustering based mechanisms [14], by using suitably defined protocols to reduce network traffic [15].…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

Architecture and Methods for Innovative Heterogeneous Wireless Sensor Network Applications

2012

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Nowadays wireless sensor netwoks (WSN) technology, wireless communications and digital electronics have made it realistic to produce a large scale miniaturized devices integrating sensing, processing and communication capabilities. The focus of this paper is to present an innovative mobile platform for heterogeneous sensor networks, combined with adaptive methods to optimize the communication architecture for novel potential applications in multimedia and entertainment. In fact, in the near future, some of the applications foreseen for WSNs will employ multi-platform systems with a high number of different devices, which may be completely different in nature, size, computational and energy capabilities, etc. Nowadays, in addition, data collection could be performed by UAV platforms which can be a sink for ground sensors layer, acting essentially as a mobile gateway. In order to maximize the system performances and the network lifespan, the authors propose a recently developed hybrid technique based on evolutionary algorithms. The goal of this procedure is to optimize the communication energy consumption in WSN by selecting the optimal multi-hop routing schemes, with a suitable hybridization of different routing criteria. The proposed approach can be potentially extended and applied to ongoing research projects focused on UAV-based sensing with WSN augmentation and real-time processing for immersive media experiences.

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Section: Wireless Sensor Networkmentioning

confidence: 99%

Architecture and Methods for Innovative Heterogeneous Wireless Sensor Network Applications

2012

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“…Iso-Map [17] also does not rely on in-network processing. It uses a suppression mechanism to reduce the number of nodes that report their readings to the sink using multihop communication.…”

Section: B Suppression-based Approachesmentioning

confidence: 99%

“…Hence we complete regioning for the whole WSN field. cell i .regionID=currentRegionID; 12: regionMaking(cell i ) 13: for each cell j merged with the region of cell i do 14: regionMaking(cell j ) 15: end for 16: currentRegionID++ 17: end for 18: /***** regioning with the 8 neighboring cells ******/ 19: regionMaking(myCell) 20: for each neighborCell do 21: if (myCell.energyClass = neighborCell.energyClass) then 22: neighborCell.regionID = myCell.regionID 23: end if 24: end for…”

Section: E-map Constructionmentioning

confidence: 99%

See 2 more Smart Citations

gMAP: Efficient construction of global maps for mobility-assisted wireless sensor networks

Khelil

Shaikh

Ali

et al. 2009

2009 Sixth International Conference on Wireless on-Demand Network Systems and Services

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Abstract-Wireless Sensor Networks are seeing increasing usage in several applications such as military, rescue and surveillance scenarios. Typical for such scenarios is that mobile nodes cooperate side-by-side with stationary sensor nodes to monitor the area of interest and to support the core network operations such as data transport. Global maps of the sensor field, such as temperature and residual energy maps, are of high interest for both users and network designers. However, the map construction can become very inefficient if it requires an extensive intervention of the resource-limited sensor nodes. In this work, we present gMAP, an extremely efficient mobilityassisted approach to construct global maps. In gMAP (a) sensor nodes do not need to process readings of other nodes and (b) require to communicate a minimal number of messages compared to all existing approaches. This is achieved by opportunistically exploiting node mobility to collect data of interest, keeping sensor nodes transmit only their own readings on-demand to a mobile node in their transmission area.

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Interpolation techniques for building a continuous map from discrete wireless sensor network data

Hammoudeh

Newman

Dennett

et al. 2011

Wireless Communications

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Wireless sensor networks (WSNs) typically gather data at a discrete number of locations. However, it is desirable to be able to design applications and reason about the data in more abstract forms than in points of data. By bestowing the ability to predict inter-node values upon the network, it is proposed that it will become possible to build applications that are unaware of the concrete reality of sparse data. This interpolation capability is realised as a service of the network. In this paper, the 'map' style of presentation has been identified as a suitable sense data visualisation format. Although map generation is essentially a problem of interpolation between points, a new WSN service, called the map generation service, which is based on a Shepard interpolation method, is presented. A modified Shepard method that aims to deal with the special characteristics of WSNs is proposed. It requires small storage, can be localised and integrates the information about the application domain to further reduce the map generation cost and improve the mapping accuracy. Empirical analysis has shown that the map generation service is an accurate, a flexible and an efficient method.

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Iso-Map: Energy-Efficient Contour Mapping in Wireless Sensor Networks

Cited by 71 publications

References 16 publications

Architecture and Methods for Innovative Heterogeneous Wireless Sensor Network Applications

Architecture and Methods for Innovative Heterogeneous Wireless Sensor Network Applications

gMAP: Efficient construction of global maps for mobility-assisted wireless sensor networks

Interpolation techniques for building a continuous map from discrete wireless sensor network data

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