Top-K Query Framework in Wireless Sensor Networks for Smart Grid

The smart grid has caught great attentions in recent years, which is poised to transform a centralized, producer-controlled network to a decentralized, consumer- interactive network that＇s supported by fine-grained monitoring. Large-scale WSNs （Wireless Sensor Networks） have been considered one of the very promising technologies to support the implementation of smart grid. WSNs are applied in almost every aspect of smart grid, including power generation, power transmission, power distribution, power utilization and power dispatch, and the data query processing of ＇WSNs in power grid＇ become an hotspot issue due to the amount of data of power grid is very large and the requirement of response time is very high. To meet the demands, top-k query processing is a good choice, which performs the cooperative query by aggregating the database objects＇ degree of match for each different query predicate and returning the best k matching objects. In this paper, a framework that can effectively apply top-k query to wireless sensor network in smart grid is proposed, which is based on the cluster-topology sensor network. In the new method, local indices are used to optimize the necessary query routing and process intermediate results inside the cluster to cut down the data traffic, and the hierarchical join query is executed based on the local results.Besides, top-k query results are verified by the clean-up process, and two schemes are taken to deal with the problem of node＇s dynamicity, which further reduce communication cost. Case studies and experimental results show that our algorithm has outperformed the current existing one with higher quality results and better efficiently.     

Delay-Aware MAC Protocol for Wireless Sensor and Actor Networks in Smart Grid

Wireless Personal Communications - The conventional electric grid is converting in to the new emerging smart grid by utilizing information and communication technologies. The smart grid...     

Towards Fault-Tolerant Fine-Grained Data Access Control for Smart Grid

Data access control within smart grids is a challenging issue because of the environmental noise and interferences. On one hand side, fine-grained data access control is essential because illegal access to the sensitive data may cause disastrous implications and/or be prohibited by the law. On the other hand, fault tolerance of the access control is very important, because of the potential impacts (implied by the errors) which could be significantly more serious than the ones regarding general data. In particular, control bits corruption could invalidate the security operation. To address the above challenges, this paper proposes a dedicated data access control scheme that is able to enforce fine-grained access control and resist against the corruptions implied by the noisy channels and the environmental interferences. The proposed scheme exploits a state-of-the-art cryptographic primitive called Fuzzy identity-based encryption with the lattice based access control and dedicated error-correction coding. We evaluate our proposed scheme by extensive simulations in terms of error correcting capability and energy consumption and results show the efficiency and feasibility of the proposed scheme. To our best knowledge, this paper is the first which addresses fault tolerant fine-grained data access control for smart grid.     

An Analysis of Energy Efficiency Improvement Through Wireless Energy Transfer in Wireless Sensor Network

In a wireless sensor network, wireless Energy transfer is a demanding technology for the energy difficulties in recent times. The foremost disadvantage of presentation is limited duration because WSN contains only restricted battery energy at a node. Therefore, we anticipated cluster-related wireless energy transfer in this document. The foremost intention of the method is to augment the duration of the sensor network through charging by the help of this wireless power transfer technology. So that, mobile charging vehicle (MCV) is established to move within the network and charge the sensor node battery wireless. The sensor nodes in the network are collected as a cluster for energy efficiency. Here, the cluster head is chosen for each one cluster in the network which is based on the rank metric value. Suppose, if one node in the network is reducing its energy, then the CH will send charge request and route ID to the MCV. Afterward, the MCV recognize the node by means of the exacting route and establish to charge the node. The reproduction consequences illustrate that the network lifetime of our anticipated method is enhanced than obtainable method.

     

Energy Efficiency Optimization for Wireless Body Area Networks Under 802.15.6 Standard

Wireless Personal Communications - With the attractive applications in e-Health, a booming interest is granted to wireless body area network (WBAN). Through WBAN, healthcare professionals can...     

无线传感器网络数据自适应稀疏变换

针对无线传感器网络节点位置移动及传输干扰等因素可导致数据稀疏结构改变的问题,提出一种基于字典学习的无线传感器网络自适应稀疏变换方法。根据网络数据稀疏结构变化,自适应构建最优稀疏变换基,同时在字典学习问题中引入无线传感器网络数据稀疏基的可压缩约束,以满足无线传感器网络中大规模数据处理特点及稀疏变换的高实时性要求。理论分析和仿真结果表明,所提算法可有效提高无线传感器网络数据稀疏变换算法的顽健性,同时具有良好的实时性。     

分簇路由的无线传感器网络通信模式与能量有效性研究

无线传感器网络中的节点以簇的方式进行路由时,簇成员可使用单跳或多跳通信模式将感知数据包发送至簇头。该文以簇内成员节点的最大能耗作为评价指标,研究单簇头情形下单跳和多跳的能量有效性,得出了通信模式的选择取决于通道衰减系数的结论。考虑到单纯的单跳或多跳模式会引起网络能耗不均衡,提出簇成员节点以一定概率在单跳和多跳间切换的混合通信模式,并给出了混合通信模式的工程实现方法。仿真结果验证了混合通信模式在能量有效性和能耗均衡分配方面的优势。     

云计算在智能电网中的应用及其安全问题研究

文章认为在智能电网中引入云计算,构建智能电网云可以为智能电网的发展提供有效支持。基于智能电网的特征,依托作为一种崭新的存储和计算模式的云计算技术,文章阐述了云计算技术如何为智能电网的数据存储和分析提供技术支持,设计了一种智能电网云计算的结构,分析了云计算技术给智能电网带来的诸多益处;并就智能电网云可能存在的安全威胁和相应的防范措施进行讨论。     

Energy Efficiency Routing with Node Compromised Resistance in Wireless Sensor Networks

For the energy limited wireless sensor networks, the critical problem is how to achieve the energy efficiency. Many attackers can consume the limited network energy, by the method of capturing some legal nodes then control them to start DoS and flooding attack, which is difficult to be detected by only the classic cryptography based techniques with common routing protocols in wireless sensor networks (WSNs). We argue that under the condition of attacking, existing routing schemes are low energy-efficient and vulnerable to inside attack due to their deterministic nature. To avoid the energy consumption caused by the inside attack initiated by the malicious nodes, this paper proposes a novel energy efficiency routing with node compromised resistance (EENC) based on Ant Colony Optimization. Under our design, each node computes the trust value of its 1-hop neighbors based on their multiple behavior attributes evaluation and builds a trust management by the trust value. By this way, sensor nodes act as router to achieve dynamic and adaptive routing, where the node can select much energy efficiency and faithful forwarding node from its neighbors according to their remaining energy and trust values in the next process of data collection. Simulation results indicate that the established routing can bypass most compromised nodes in the transmission path and EENC has high performance in energy efficiency, which can prolong the network lifetime.     

Exploiting Mobility for Efficient Coverage in Sparse Wireless Sensor Networks

Reliable monitoring of a large area with a Wireless Sensor Network (WSN) typically requires a very large number of stationary nodes, implying a prohibitive cost and excessive (radio) interference. Our objective is to develop an efficient system that will employ a smaller number of stationary nodes that will collaborate with a small set of mobile nodes in order to improve the area coverage. The main strength of this collaborative architecture stems from the ability of the mobile sensors to sample areas not covered (monitored) by stationary sensors. An important element of the proposed system is the ability of each mobile node to autonomously decide its path based on local information (i.e. a combination of self collected measurements and information gathered by stationary sensors in the mobile’s communication range), which is essential in the context of large, distributed WSNs. The contribution of the paper is the development of a simple distributed algorithm that allows mobile nodes to autonomously navigate through the field and improve the area coverage. We present simulation results based on a real sparse stationary WSN deployment for the coverage improvement scenario.     

分簇无线传感器网络中根校验全分集LDPC码设计与能效分析

高效的差错控制编码技术(ECC)可以增强无线传感器网络传输稳定性、网络的能量利用效率。为了充分利用无线传感器网络中蕴含的分集资源应对恶劣信道环境导致的高差错概率,该文研究了基于根校验全分集LDPC码的差错控制编码技术。首先,提出在分簇无线传感器网络中,基于根校验全分集LDPC码的编码方案;其次,设计了适用于所提方案的速率兼容全分集LDPC码字结构。最后,分析了所提编码系统的能效。仿真结果表明,在信道条件较差的环境中(仿真中,信道噪声大于410-4 mW),采用该文的编码方案,能够显著提高无线传感器网络的能效。     

智能雷场的无线传感器网络技术研究

智能地雷是现代新概念弹药,其关键技术是声/震传感器阵列探测及组网通信技术。本文根据自动布设的智能地雷系统的作战使用方式,详细描述了智能地雷的工作原理和工作过程,细划地雷系统的组成部分及其功能。并基于无线传感器网络技术(WSN)提出了一种网络化智能雷场系统方案及其无线传感器网络构建、自定位、自组织等关键技术的解决方案,据此可构建地雷场的自组织网络。该方案具有通信定位组网一体化设计,集成度高、工程实现简洁的特点。     

Moth Flame Optimization Based Energy Efficient Stable Clustered Routing Approach for Wireless Sensor Networks

Wireless Personal Communications - The widespread use of wireless sensor devices and their advancements in terms of size, deployment cost and user friendly interface have given rise to many...     

应用于智能材料结构的无线传感智能夹层

提出智能夹层及其先进信号处理技术是智能材料结构研究的主要内容,叙述了将智能夹层的思想推广到无线自组织传感网络上,形成智能无线传感夹层。与其他材料合成相应的智能结构．得出智能夹层可以被预先制造、测试、贮藏和搬运到异地合成到结构中,提高了结构损伤检测的可信度．     

智慧协同工业无线传感器网络

本文研究将智慧协同网络理论用于工业无线传感器网络(Industrial Wireless Sensor Network,IWSN),提出一种新型智慧协同工业无线传感器网络构架Smart-IWSN.Smart-IWSN能够为多样化的工业服务适配必须的网络资源,满足工业服务对网络性能的苛刻需求,为工业无线传感器网络的研发和应用节省大量的时间和成本.Smart-IWSN已成功应用到大规模焊机群监控系统,解决了恶劣工业射频环境下大量焊机多任务并行通信的技术难题.     

Sensor Networks + Grid Computing = A New Challenge for the Grid?

A new class of distributed applications, pervasive management support systems, combine sensor network and Grid technologies to support the ongoing management of evolving physical systems. Essentially, PMS systems marry reality and simulation and support sophisticated what-if analysis to help people make faster and better real-world decisions.     

Fuzzy-Based Secure Authentication and Clustering Algorithm for Improving the Energy Efficiency in Wireless Sensor Networks

Wireless Sensor Networks are categorized by the improved energy consumption parameters. The nodes are deployed in challenging surroundings and they are not communicated for a long time with lacking of energy level. These kinds of nodes will be the victim of security attacks, the conciliation nodes are guided all the data packets send to the base station of the network. In this paper proposes, The Fuzzy-based Secured Authentication and Clustering (FSAC) Algorithm observes the different kinds of the data packets transmitted within the sensors to avoid the attacks. The FSAC is implemented to use the proficient routing path to diminish the energy consumption. This method finds the adjacent transmitting node to improve the proficient path setup for the data packet routing using the fuzzy logic method. The simulation results specify that the proposed method increases the energy up to 12% compared to the related methods.

     

Wireless Sensor Network Based Smart Grid Communications: Challenges,Protocol Optimizations,and Validation Platforms

Wireless Personal Communications - Smart grids, the next generation of electric grids, require the deployment of sophisticated monitoring and control systems to enhance their operational...     

无线传感器网络中协作ARQ协议能量效率分析及优化

文章研究了无线传感器网络中协作自动请求重传（Cooperative Automatic Repeat Request, CARQ）协议的能量效率及其优化问题。定义协议的能量效率为单位能耗所支持的分组成功传输的个数,导出了CARQ协议和传统ARQ协议的能量效率表达式以及CARQ协议相对ARQ协议的能效增益表达式,依此对两协议的能量效率进行了仿真研究,发现协作节点的位置对协议的能量效率有重要影响,当通信距离大于“门限距离”时,CARQ协议的能量效率才高于传统ARQ协议能效;进而提出了一种离散优化算法,通过优化调制水平,大大提高了CARQ协议的能效及能效增益。