Editorial Mobile Sensing and Data Management for Sensor...

EditorialMobile Sensing and Data Management for Sensor Networks 2014

Jianwei Niu,1 Lei Shu,2 Zhangbing Zhou,3,4 and Yan Zhang5

1State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China2Guangdong University of Petrochemical Technology, Maoming 525000, China3China University of Geosciences, Beijing 100191, China4Institut Mines-TELECOM, France5Simula Research Laboratory, University of Oslo, 1325 Lysaker, Norway

Correspondence should be addressed to Jianwei Niu; [email protected]

Received 21 December 2014; Accepted 21 December 2014

Copyright © 2015 Jianwei Niu et al. This is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Recent years have witnessed the rapid development of theInternet of Things, sensor cloud, mobile Internet, more andmore mobile devices, such as smart phones, Google glasses,and RFID, plus deployed various sensor networks, which cansense and collect sensory data anytime and anywhere. Weare moving toward the era of worldwide sensor networks,in which a huge amount of heterogeneous sensory data willbe created every day and require modern data managementtechniques. In this background, efficiently gathering, sharing,and integrating these spatial temporal data and then miningvaluable knowledge in time are a big challenge in thiscontext. This special issue is intended to provide a forumfor presenting, exchanging, and discussing the most recentadvances in sensing and data management techniques.

In hybrid wired-wireless networks, network congestionsand wireless link errors are two main causes for data trans-mitting errors. In this paper “ECN-Based Congestion Prob-ability Prediction over Hybrid Wired-Wireless Networks,”the authors proposed a method to determine the reasons ofpacket losses in hybrid wired-wireless networks and calculatethe probability of network congestion. The authors alsodiscuss how to improve existing TCP variants with theirproposed method.

The paper “Energy-Efficient Scheduling for Mobile Sen-sors Using Connection Graphs in a Hybrid Wireless SensorNetwork withObstacles” investigates the scheduling problemof mobile sensors in a hybrid wireless sensor network withobstacles. A big challenge to this issue is how to efficientlyschedule the mobile sensor to find an obstacle-avoiding

shortest path. To address this issue, the authors propose anefficient scheduling method based on connection graphs.They divide the region of network into grid cells with thesame size. The search space of the shortest path is restrictedto the connection graphs composed of some grid cells.

It is very important to timely differentiate critical/non-critical nodes in mobile ad hoc and sensor networks (MAH-SNs). In this paper “Formal Specification and Validation of aLocalized Algorithm for Segregation of Critical/NoncriticalNodes in MAHSNs,” the authors present a localized algo-rithm to distinguish critical/noncritical nodes. Each nodebuilds a k-hop connection list. Based on the list, the proposedalgorithm marks a node as critical if its k-hop neighborsbecome disconnected without the node.

Data security and privacy protection will have significantimpact on the development of the cloud technology. In thispaper “Data Security and Privacy in Cloud Computing,”the authors investigate different security techniques andchallenges for protecting data in the cloud. They make acomparative analysis of the existing research work regardingthe data security and privacy protection techniques used inthe cloud computing.

In wireless sensor networks, localization is a very impor-tant issue. In nonline of sight (NLOS) environment, thelocalization accuracy decreases significantly using traditionalmethods based on received signal strength (RSS). In thispaper “RSS Localization Algorithm Based on Nonline ofSight Identification forWireless SensorNetwork,” the authors

Hindawi Publishing CorporationInternational Journal of Distributed Sensor NetworksVolume 2015, Article ID 278146, 3 pageshttp://dx.doi.org/10.1155/2015/278146

2 International Journal of Distributed Sensor Networks

propose an RSS based localization algorithm which does notneed the parameters of the NLOS in prior.

The energy state of an energy-harvesting sensor changesdramatically in energy-harvesting wireless sensor networks(EH-WSNs). In this paper “Adaptive Quantization for Dis-tributed Estimation in Energy-Harvesting Wireless SensorNetworks: A Game-Theoretic Approach,” the authors inves-tigate the crucial issue of energy harvesting and the problemof parameter estimation in EH-WSNs is formulated as a gameof complete and perfect information.

How to organize and query the big sensing data generatedcontinuously in the Internet of Things is a big challenge. Thepaper “Organizing and Querying the Big Sensing Data withEvent-Linked Network in the Internet of Things” studies theorganization of big sensing data and several different types ofqueries on the event-linked network are explored.

The fingerprint positioning based on received signalstrength is widely used inmany applications.The localizationprecision and the survey workload are affected by samplingcell size directly. In the paper “Optimization of SamplingCell Size for Fingerprint Positioning,” the authors propose asampling cell size optimization method which can decreasethe survey overhead while maintaining the precision.

The GPS sensors in mobile phones make location basedservice (LBS) applicable. However, LBS brings the issue oflocation privacy to mobile users. In the paper “A Voronoi-Based Location Privacy-Preserving Method for ContinuousQuery in LBS,” the authors put forward a location privacy-preservingmethodwhich is based onVoronoi graphpartitionon road networks.This algorithm canwork out precise resultsand also solve the unevendistribution problem in SpaceTwist.

Reliable and efficient localization is needed for robotsto carry out given tasks. In the paper “A Location Estima-tion Algorithm Based on RSSI Vector Similarity Degree,”the authors present a localization algorithm based on thequadrilateral location unit by using more accurate RSSI andrange. Moreover, they introduce the generalized inverse tosolve the coordinates of nodes.

Different senor networks are likely to cause interferenceto neighbor networks since different senor network topolo-gies are likely to exist in the same area. How to detect,determine, and locate the unknown wireless topologies ina given geographical region is a big challenge. In the paper“RSSI and LQI Data Clustering Techniques to Determinethe Number of Nodes in Wireless Sensor Networks,” theauthors apply three different clusteringmethods to determinethe number of active sensor nodes in the unknown wirelesstopology.

A lot of indoor location based services (LBSs) are devel-oping rapidly and efficient queries based on semantic-constraint in indoor spaces are a big challenge for support-ing and boosting LBSs. In the paper “A Semantic-BasedIndexing for Indoor Moving Objects,” the authors presentan indoor semantic-based model and a new semantic-basedindex. Besides, they develop efficient algorithms for two newqueries.

Energy consumption is a key factor for designing theunderwater acoustic sensor networks (UWASNs). In thepaper “Balance Transmission Mechanism in Underwater

Acoustic Sensor Networks,” a balance transmission mecha-nism is proposed. Besides, the authors give detailed theo-retical analysis to evaluate the optimum energy levels in theUWASNs.

Possibilistic c-means clustering algorithm (PCM) is diffi-cult to cluster incomplete big sensor data in real time becauseof the existence of many missing values and huge amountof data. In the paper “A Distributed Weighted Possibilisticc-Means Algorithm for Clustering Incomplete Big SensorData,” the authors propose a distributedweighted possibilisticc-means clustering algorithm (DWPCM). The experimentalresults show that the algorithm produces an appropriatepartition efficiently for incomplete big sensor data.

In battery-powered wireless sensor networks, data trans-mission consumes more energy than any other behaviors.In this paper “A Distributed Energy Optimized RoutingUsing Virtual Potential Field in Wireless Sensor Networks,”the authors design a distributed energy optimized routingalgorithm to extend the network lifespan. Their methodforces all packets to move toward the sink meanwhile toachieve energy efficiency and energy balance simultaneously.

Inwireless sensor networks, database applications requiresensor nodes to collect data in specific target regions. In thispaper “Design and Implementation of Spatial Operators andEnergy-Efficient Query Processing Strategy in Wireless Sen-sor Network Database System,” the authors describe spatialoperations and energy-efficient query processing methodsimplemented in their sensor network database system. Theirsystem can specify the target space of interest easily andgreatly reduce the cost of calculating the target spaces.

In order to improve the efficiency of the broadcast servicein vehicular ad hoc networks, in this paper “TDMA-BasedControl Channel Access for IEEE 802.11p in VANETs,” theauthors propose an TDMA-based channel access scheme toreduce the rate of transmission collisions and to improve theavailability of time slots for the control channel.Theirmethodadjusts mainly disjoint sets of time slots to vehicles movingoppositely and to the left and right slot frames. In addition,the location information of a node is used for allocating thetime slot.

For the resource constrained WSNs, the security issue isvery critical due to wireless communication, energy limita-tion, and computation constraint. The path-based denial ofservice attacks impact the networkmaintenance. In this paper“A Novel Method Defends against the Path-Based DoS forWireless Sensor Network,” the authors detect the maliciousbehavior at the base station through a combination of tripleexponential smoothing and Markov chain.

In vehicular networks, it is a big challenge to efficientlyprovide multimedia services with the constraints of limitedresources, high mobility, opportunistic contact, and servicetime requirements. In this paper “Evolutionary Game Theo-retic Modeling and Repetition of Media Distributed Sharedin P2P-Based VANET,” the authors design a set of methods toavoid the disadvantage of P2P system appearing in VANET.An evolutionary game-based veracity (EGV) game model isproposed to guarantee the multimedia service share veracityof all vehicles.

International Journal of Distributed Sensor Networks 3

In the researches and the applications of WSNs, animportant problem is the wireless sensor deployment. In thispaper “3D Self-Deployment Algorithm in Mobile WirelessSensor Networks,” the authors propose a 3D autonomousdeployment method which can guarantee network connec-tivity and balance the node distribution.

On the modern smartphones, automatic handoff isimportant for making full exploitation of these accessibletechnologies due to complementary characteristics of wire-less networks. In this paper “Adaptive Heterogeneous Net-work Handoff of Smartphone Based on the Closed ControlLoop,” the authors analyze the closed loop handoffmodel andpropose a model on smartphone switching heterogeneouswireless networks.

On the Internet of Things, it is important to use infor-mation effectively and to drive entities automatically. In thispaper “Ontologies for the Transactions on IoT,” the authorsdescribe an information processing framework which repre-sents the entities of semantic web services and automaticallycreates service sequences. On the basis of some ontologiesproposed, the framework can ensure the effective manage-ment and control of information during the transaction.

It is important that there is effective allocation strategyto balance energy consumption for wireless sensor networks.In this paper “A Distributed Task Allocation Strategy forCollaborative Applications in Cluster-Based Wireless SensorNetworks,” the authors propose a distributed task allocationstrategy in which sensor nodes are classified depending onthe estimated service abilities.The allocation of complex taskscomposes two steps: the first is allocation to several clustersand the second step is scheduling on collaborative clustermembers.

Sensing RFID data faces some challenges with therequirement of integration of multiple sensors into activeradio frequency identification system. In this paper “Man-agement of Sensor-Related Data Based on Virtual TEDSin Sensing RFID System,” the authors propose a virtualdescription method based on Transducer Electronic DataSheet to improve interoperability and compatibility of thesensing RFID data. In addition, the authors propose a datatable storage mode and analyze the operational mechanismand procedure of the sensor sampling system.

Jianwei NiuLei Shu

Zhangbing ZhouYan Zhang

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