Editorial Mass Cooperative Transmission and QoS Supported ...downloads.hindawi.com/journals/ijdsn/2014/363584.pdfubiquitous wireless sensor networks in this issue. ese papers mainly

EditorialMass Cooperative Transmission and QoS Supported Mechanismin Wireless Sensor Networks

Gelan Yang,1 Deguang Le,2 Yong Jin,2 and Su-Qun Cao3

1 College of Information Science and Engineering, Hunan City University, Yiyang 413000, China2 School of Computer Science & Engineering, Changshu Institute of Technology, Changshu 215500, China3 Faculty of Mechanical Engineering, Huaiyin Institute of Technology, Huai’an 223003, China

Correspondence should be addressed to Gelan Yang; [email protected]

Received 16 April 2014; Accepted 16 April 2014; Published 28 May 2014

Copyright © 2014 Gelan Yang 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.

Many new massive services cause the data scale and typeof WSNs (wireless sensor networks) to grow so fast, whichinclude industrial, military, and natural environmental mon-itoring, real-time multimedia communication, and targettracking system. However, traditional data transmission pro-tocols and architecturemay not be suitable for all applicationsof WSNs for the diversity of QoS guarantees, mass transmis-sion mechanism, and mobility support. These bring aboutsignificant challenges and design considerations for WSNsin complicated wireless environment. We have accepted afew papers that address the state of the art and the futuredirections of these research and application areas for masscooperative transmission and QoS supported mechanism inubiquitous wireless sensor networks in this issue.

These papers mainly focus on providing the recentadvances on cooperative communication and diversity ofQoS guarantee schemes based on massive data of wirelesssensor networks or wireless multimedia sensor networks.Authors have described the novel mechanisms, as well asstate-of-the-art contributions on key issues like detectingsimilar duplicate records, dissemination, big data manage-ment, big data processing, reliable and real-time transmis-sion, and so on.

“Energy efficient and high speed error control scheme forreal time wireless sensor networks” by A. Barati et al. proposesa novel energy-efficient and high speed error control schemebased on the redundant residue number system (RRNS)allowing real-time application of WSNs. These advantages

therefore make the proposed method more desirable forreal-timewireless sensor network applications where reliabil-ity, low energy consumption, and high speed operations areabsolute necessities.

“A novel PROMSIS vertical handoff decision algorithm forheterogeneous wireless networks” by S. Liu et al. proposes thenovel preference ranking organization method by similarityto ideal solution (PROMSIS) vertical handoff algorithm forheterogeneous wireless networks. Its key idea includes thepreference structure of the PROMETHEE and the concept ofEuclid distance of the TOPSIS.

“Distributional fractal creating algorithm in parallel envi-ronment” by S. Liu et al. transforms the classic fractal creatingalgorithm to a distributional algorithm and applies it into theparallel environment. This paper uses a generalized 3𝑥 + 1function and an approximate generalized 3𝑥 + 1 function toexperiment and validate the effectiveness of this method.

“Fractal cross-layer service with integration and interactionin Internet of Things” by B. Jia et al. creates a novel fractalintelligent cross-layer service platform, which contains thearchitecture, foundational models, and algorithms such asservice ontology model, semantic description language, andmanagement strategy. Experimental result shows its benefitin interoperability and well-understanding.

“Distributed cooperative algorithm for k-M set with nega-tive integer k by fractal symmetrical property” by G. Yang andS. Liu uses the computed points’ value to avoid computationalwaste and uses fractal theory to divide Julia set with different

Hindawi Publishing CorporationInternational Journal of Distributed Sensor NetworksVolume 2014, Article ID 363584, 3 pageshttp://dx.doi.org/10.1155/2014/363584

2 International Journal of Distributed Sensor Networks

iteration times in order to decrease the computational time ofescape time algorithm.This paper uses k-M set with negativeinteger to experiment and validates the effectiveness of thenovel algorithm by using the fractal symmetrical properties,which is given by strict proofs.

“Monte Carlo based personalized PageRank on dynamicnetworks” by Z. Junchao et al. designs the Monte Carlobased incremental method for personalized PageRank com-putation. The authors do a random walk starting fromeach node and save the performed walks into a fingerprintdatabase. Then, the fingerprint database was updated in afixed time interval. When a query is issued by a user, thepersonalized PageRank vector was estimated by the proposedapproximation algorithm.

“A microseismic/acoustic emission source location methodusing arrival times of PSwaves for unknown velocity system” byL. Dong and X. Li describes MS/AE (microseismic/acousticemission) source location method using P-wave and S-wavearrivals for unknown velocity system (PSAFUVS), in order toeliminate the location error of MS/AE monitoring systems.

“Random walk based location prediction in wireless sensornetworks” by Z. Jin et al. studies the problem of futurelocation prediction and assumes the location histories ofmobile objects as a rating matrix and then uses a randomwalk based social recommender algorithm, which was usedto predict the future locations of mobile objects.

“Optimal deployment and scheduling with directional sen-sors for energy-efficient barrier coverage” by L. Zhao proposesthe efficient sensor deployment (ESD) problem and energy-efficient barrier coverage (EEBC) problem for directionalsensor networks. The deployment model for the distributionof sensor locations to analyze whether a target area can bebarrier covered was described. In addition, the relationshipbetween the probability of barrier coverage and networkdeployment parameters was examined.

“High reliable relay selection approach forQoS provisioningin wireless distributed sensor networks” by Y. Jin studiesthe reliable adaptive relay selection approach and adaptiveQoS supported algorithm based on Markov chain model,which considered the different packet states and error controlalgorithm assignment. The analyses results show that thisproposed relay selection approach could perform betterin terms of saturation throughput, reliability, and energyefficiency than other traditional approaches. Specially, thequality of real-timemultimedia streaming could be improvedsignificantly such as the decodable frame ratio and delay.

“Multisensor based neutral function identification of solen-oid valve” by Y. Guo et al. investigates the importance ofthe solenoid valve identification for condition monitoringneed. Therefore, a multisensor based detecting system is setup for output pressure sensing of solenoid valves. Aiming atsimplifying the recognition process, linear correlation anal-ysis is employed for feature extraction while support vectormachine classifier is employed for automatic identification.With different types of valves applied to the measurement,experiment outcome reveals the high identification accuracy,which shows the feasibility of this system for industrialapplication.

“Humanmoving pattern recognition toward channel num-ber reduction based on multipressure sensor network” by Z.Peng et al. emphasizes on moving state acquisition basedon foot pressure sensing. An insole-based plantar pressuremeasuring method is developed based on multisensingmeasurement. For establishing the foot pressure acquisitionsystem, gait recognition algorithm based on physiologicalparameter feature extraction and human motion recognitionalgorithm based on support vector machine are studied.Based on experimental outcomes, a faster and simplifiedsystem is obtained. Experiments have been conducted onfoot pressure sensing system to confirm the validity of thealgorithms.

“A proactive complex event processing method for large-scale transportation Internet of Things” by Y. Wang and K.Cao proposes a proactive complex event processing methodnamed PROCEP for large-scale transportation Internet ofThings. A parallel Markov decision processes model isdesigned based on a novel multilayered adaptive dynamicBayesian model.The experimental evaluations show that thismethod can support proactive complex event processing wellin large-scale transportation Internet of Things.

“Predictive analytics by using Bayesian model averagingfor large-scale Internet of Things” by X. Zhu et al. proposesa dynamic Bayesian model averaging method for high-accuracy prediction analytics in large-scale IoT applications.Gaussian mixture models and expectation-maximizationinference are used for basic Bayesian prediction. A noveldynamic Bayesian model averaging method is proposedbased on event context clustering. Simulation experimentsshow that the proposed prediction analyticmethod has betteraccuracy compared with traditional methods.

“An improved multipoint relaying scheme for messagepropagation in distributed peer-to-peer system” by Z. Liaoet al. proposes an algorithm of LMPR. It is a methodologyfor improving MPR for message propagation in distributedunstructured P2P system. And a mechanism of specifiedrelay-list to further reduce the number of its retransmittingof message is added. Simulation results show that the schemeof LMPR can improve the traditional system in the aspect ofmessage redundancy, network overhead, and fluctuation.

“Design approach based on EtherCAT protocol for a net-worked motion control system” by L. Wang et al. presents anew design approach in order to improve a special networkedmotion control system based on EtherCAT protocol. Anddetails of the testing platform including software and hard-ware are also given. A set of experiments are conducted toevaluate the crucial performance. Experimental results showthat the design approach can be widely extended to otherautomation application scenarios.

“Optimal placement of wireless sensor nodes for bridgedynamic monitoring based on improved particle swarm algo-rithm” by T. You et al. proposes a methodology for optimalplacement of wireless sensor networks for dynamic monitor-ing of bridges. The optimizing sensor location is achievedby using the improved wavelet particle swarm algorithm,based on the relationship between the bridge modal andthe energy consumption of wireless network. According to

International Journal of Distributed Sensor Networks 3

the experimental results, the proposedmethod can reflect thedynamic performance of the test bridge well, which can beused for dynamic monitoring of wireless sensors in variousbridge types.

“Peer selection strategy using mobile agent and trust inpeer-to-peer streaming media system” by H. Xu et al. describesa peer selection strategy aiming at improving the qualityof service (QoS) for peer-to-peer (P2P) streaming mediasystem, on the basis of mobile agent and trust. Also a newarchitecture to simulate P2P network is presented, which usesagent technology to OverSim platform, simulation resultsshow that the proposed strategy improves the streamingQoS.

“Network-coding-based energy-efficient data fusion andtransmission for wireless sensor networks with heterogeneousreceivers” by L. Wang et al. proposes a multirate networkcoding scheme for improving the energy efficiency of wirelesssensor networks. A network topology based on a five-layernetworkmodel is established from the given sensor networks.A simulated instance is conducted to evaluate the perfor-mance of the proposed scheme. Experimental outcomes showthat 9% of transmission overhead can be saved.

“A topology construct and control model with small-worldand scale-free concepts for heterogeneous sensor networks” byL. Liu et al. introduces a topology model with small-worldand scale-free concepts for heterogeneous sensor network.And the topology evolution algorithm is designed aswell.Thesimulation results show that the proposed topologies havesmall-world, scale-free feathers and a better performance inimproving energy efficiency and enhancing network robust-ness.

“An improved centralized cognitive radio network spec-trum allocation algorithm based on the allocation sequence”by J. Zhao and J. Yuan establishes the mathematical modelfor the cognitive radio spectrum allocation based on thegraph theory and the existing spectrum allocation algorithmsbased on the distributed cognitive radio networks and thecentralized cognitive radio networks. This paper proposedthe central cognitive radio network spectrum allocationalgorithm based on the allocation sequence. The simulationresults show that the improved algorithm can significantlyreduce the allocation time of the algorithm compared to theexisting graph theory algorithms.

“Cooperative transmission mechanisms in next generationWiFi: IEEE 802.11ac” by B. Ji et al. proposes an enhancedNAV transmission mechanism, which not only needs littlemodifications to current standard draft but also can achieveperformance improvement significantly. Theoretical analysisis also performed on the proposed mechanism and theformulas of the achieved gains are also derived. Numericalresults confirm the validation of our theoretical analysisand further substantiate that the proposed scheme obtainsobvious throughput gain over the conventional mechanism.

Acknowledgments

Thanks are due to the authors of the special issue fortheir contributions and to the reviewers for their valuablecomments on the submissions. Dr. Gelan Yang acknowledges

the support by the Scientific Research Fund ofHunanProvin-cial Education Department (Grant no. 12B023).

Gelan YangDeguang Le

Yong JinSu-Qun Cao

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