Mass Cooperative Transmission and QoS Supported Mechanism in Wireless Sensor Networks

Many new massive services cause the data scale and type of WSNs (wireless sensor networks) to grow so fast, which include industrial, military, and natural environmental monitoring, real-time multimedia communication, and target tracking system. However, traditional data transmission protocols and architecture may not be suitable for all applications of WSNs for the diversity of QoS guarantees, mass transmission mechanism, and mobility support. These bring about significant challenges and design considerations for WSNs in complicated wireless environment. We have accepted a few papers that address the state of the art and the future directions of these research and application areas for mass cooperative transmission and QoS supported mechanism in ubiquitous wireless sensor networks in this issue.

These papers mainly focus on providing the recent advances on cooperative communication and diversity of QoS guarantee schemes based on massive data of wireless sensor networks or wireless multimedia sensor networks. Authors have described the novel mechanisms, as well as state-of-the-art contributions on key issues like detecting similar duplicate records, dissemination, big data management, big data processing, reliable and real-time transmission, and so on.

“Energy efficient and high speed error control scheme for real time wireless sensor networks” by A. Barati et al. proposes a novel energy-efficient and high speed error control scheme based on the redundant residue number system (RRNS) allowing real-time application of WSNs. These advantages therefore make the proposed method more desirable for real-time wireless sensor network applications where reliability, low energy consumption, and high speed operations are absolute necessities.

“A novel PROMSIS vertical handoff decision algorithm for heterogeneous wireless networks” by S. Liu et al. proposes the novel preference ranking organization method by similarity to ideal solution (PROMSIS) vertical handoff algorithm for heterogeneous wireless networks. Its key idea includes the preference structure of the PROMETHEE and the concept of Euclid distance of the TOPSIS.

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

“Fractal cross-layer service with integration and interaction in Internet of Things” by B. Jia et al. creates a novel fractal intelligent cross-layer service platform, which contains the architecture, foundational models, and algorithms such as service ontology model, semantic description language, and management strategy. Experimental result shows its benefit in interoperability and well-understanding.

“Distributed cooperative algorithm for k-M set with negative integer k by fractal symmetrical property” by G. Yang and S. Liu uses the computed points' value to avoid computational waste and uses fractal theory to divide Julia set with different iteration times in order to decrease the computational time of escape time algorithm. This paper uses k-M set with negative integer to experiment and validates the effectiveness of the novel algorithm by using the fractal symmetrical properties, which is given by strict proofs.

“Monte Carlo based personalized PageRank on dynamic networks” by Z. Junchao et al. designs the Monte Carlo based incremental method for personalized PageRank computation. The authors do a random walk starting from each node and save the performed walks into a fingerprint database. Then, the fingerprint database was updated in a fixed time interval. When a query is issued by a user, the personalized PageRank vector was estimated by the proposed approximation algorithm.

“A microseismic/acoustic emission source location method using arrival times of PS waves for unknown velocity system” by L. Dong and X. Li describes MS/AE (microseismic/acoustic emission) source location method using P-wave and S-wave arrivals for unknown velocity system (PSAFUVS), in order to eliminate the location error of MS/AE monitoring systems.

“Random walk based location prediction in wireless sensor networks” by Z. Jin et al. studies the problem of future location prediction and assumes the location histories of mobile objects as a rating matrix and then uses a random walk based social recommender algorithm, which was used to predict the future locations of mobile objects.

“Optimal deployment and scheduling with directional sensors for energy-efficient barrier coverage” by L. Zhao proposes the efficient sensor deployment (ESD) problem and energy-efficient barrier coverage (EEBC) problem for directional sensor networks. The deployment model for the distribution of sensor locations to analyze whether a target area can be barrier covered was described. In addition, the relationship between the probability of barrier coverage and network deployment parameters was examined.

“High reliable relay selection approach for QoS provisioning in wireless distributed sensor networks” by Y. Jin studies the reliable adaptive relay selection approach and adaptive QoS supported algorithm based on Markov chain model, which considered the different packet states and error control algorithm assignment. The analyses results show that this proposed relay selection approach could perform better in terms of saturation throughput, reliability, and energy efficiency than other traditional approaches. Specially, the quality of real-time multimedia streaming could be improved significantly such as the decodable frame ratio and delay.

“Multisensor based neutral function identification of solenoid valve” by Y. Guo et al. investigates the importance of the solenoid valve identification for condition monitoring need. Therefore, a multisensor based detecting system is set up for output pressure sensing of solenoid valves. Aiming at simplifying the recognition process, linear correlation analysis is employed for feature extraction while support vector machine 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 industrial application.

“Human moving pattern recognition toward channel number reduction based on multipressure sensor network” by Z. Peng et al. emphasizes on moving state acquisition based on foot pressure sensing. An insole-based plantar pressure measuring method is developed based on multisensing measurement. For establishing the foot pressure acquisition system, gait recognition algorithm based on physiological parameter feature extraction and human motion recognition algorithm based on support vector machine are studied. Based on experimental outcomes, a faster and simplified system is obtained. Experiments have been conducted on foot pressure sensing system to confirm the validity of the algorithms.

“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 method named PROCEP for large-scale transportation Internet of Things. A parallel Markov decision processes model is designed based on a novel multilayered adaptive dynamic Bayesian model. The experimental evaluations show that this method can support proactive complex event processing well in large-scale transportation Internet of Things.

“Predictive analytics by using Bayesian model averaging for large-scale Internet of Things” by X. Zhu et al. proposes a dynamic Bayesian model averaging method for high-accuracy prediction analytics in large-scale IoT applications. Gaussian mixture models and expectation-maximization inference are used for basic Bayesian prediction. A novel dynamic Bayesian model averaging method is proposed based on event context clustering. Simulation experiments show that the proposed prediction analytic method has better accuracy compared with traditional methods.

“An improved multipoint relaying scheme for message propagation in distributed peer-to-peer system” by Z. Liao et al. proposes an algorithm of LMPR. It is a methodology for improving MPR for message propagation in distributed unstructured P2P system. And a mechanism of specified relay-list to further reduce the number of its retransmitting of message is added. Simulation results show that the scheme of LMPR can improve the traditional system in the aspect of message redundancy, network overhead, and fluctuation.

“Design approach based on EtherCAT protocol for a networked motion control system” by L. Wang et al. presents a new design approach in order to improve a special networked motion control system based on EtherCAT protocol. And details of the testing platform including software and hardware are also given. A set of experiments are conducted to evaluate the crucial performance. Experimental results show that the design approach can be widely extended to other automation application scenarios.

“Optimal placement of wireless sensor nodes for bridge dynamic monitoring based on improved particle swarm algorithm” by T. You et al. proposes a methodology for optimal placement of wireless sensor networks for dynamic monitoring of bridges. The optimizing sensor location is achieved by using the improved wavelet particle swarm algorithm, based on the relationship between the bridge modal and the energy consumption of wireless network. According to the experimental results, the proposed method can reflect the dynamic performance of the test bridge well, which can be used for dynamic monitoring of wireless sensors in various bridge types.

“Peer selection strategy using mobile agent and trust in peer-to-peer streaming media system” by H. Xu et al. describes a peer selection strategy aiming at improving the quality of service (QoS) for peer-to-peer (P2P) streaming media system, on the basis of mobile agent and trust. Also a new architecture to simulate P2P network is presented, which uses agent technology to OverSim platform, simulation results show that the proposed strategy improves the streaming QoS.

“Network-coding-based energy-efficient data fusion and transmission for wireless sensor networks with heterogeneous receivers” by L. Wang et al. proposes a multirate network coding scheme for improving the energy efficiency of wireless sensor networks. A network topology based on a five-layer network model is established from the given sensor networks. A simulated instance is conducted to evaluate the performance of the proposed scheme. Experimental outcomes show that 9% of transmission overhead can be saved.

“A topology construct and control model with small-world and scale-free concepts for heterogeneous sensor networks” by L. Liu et al. introduces a topology model with small-world and scale-free concepts for heterogeneous sensor network. And the topology evolution algorithm is designed as well. The simulation results show that the proposed topologies have small-world, scale-free feathers and a better performance in improving energy efficiency and enhancing network robustness.

“An improved centralized cognitive radio network spectrum allocation algorithm based on the allocation sequence” by J. Zhao and J. Yuan establishes the mathematical model for the cognitive radio spectrum allocation based on the graph theory and the existing spectrum allocation algorithms based on the distributed cognitive radio networks and the centralized cognitive radio networks. This paper proposed the central cognitive radio network spectrum allocation algorithm based on the allocation sequence. The simulation results show that the improved algorithm can significantly reduce the allocation time of the algorithm compared to the existing graph theory algorithms.

“Cooperative transmission mechanisms in next generation WiFi: IEEE 802.11ac” by B. Ji et al. proposes an enhanced NAV transmission mechanism, which not only needs little modifications to current standard draft but also can achieve performance improvement significantly. Theoretical analysis is also performed on the proposed mechanism and the formulas of the achieved gains are also derived. Numerical results confirm the validation of our theoretical analysis and further substantiate that the proposed scheme obtains obvious throughput gain over the conventional mechanism.