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As for the extremely unpredictable factors of Distributed Sensor Networks (DSNs) with constrained resources operating in an unattended mode in uncertain dynamic environments, the behavior evaluation of sensor-network nodes is vital to architecture of autonomic and fault-tolerant DSNs. Because of Bayesian probability incapability of capturing epistemic uncertainty (uncertainty with little prior-knowledge), one evaluation scheme based on Dempster Evidence Theory (DST) is proposed with coarsening and refining combining algorithm by Fast Möbius Transform (FMT). This method offers an efficient framework for uncertainty quantifying and partial knowledge processing with sharply decreasing computation complexity. Simulation verified this ubiquitous low-cost computation appropriate to flexible Wireless Sensor Network Management Protocol (SNMP) for prolonging live-time of sensor network.

Wireless sensor network has broad applications in target tracking and locating, especially fit for military detection or guard. By establishing a tracking cluster, this article proposes a Tracking Cluster Rekeying Protocol (TCRP). Sensors can locate the moving object in the monitored area based on given sensitivity and form a tracking cluster around it. This tracking cluster can follow the target logically, process detected data and report to the sink node, and thus achieve the tracking function. To improve its security and applicability, cluster session key is used for data exchange. And pre-established encrypt links are used to guarantee the whole system's security.

This paper generalizes the information coverage from probability space to Sugeno measure space, and proposes a notion of g_λ random coverage based on non-additive measure. The simulation results show that g_λ random coverage is a more general coverage analysis for information coverage in wireless sensor networks. It can be transformed to probability coverage on one hand; it can also satisfy different requirements of non-additive information coverage on the other hand.

The key objective of wireless sensor networks (WSNS) is to use the restricted embedded resource efficiently and to maximize their life time. Quality of service (QoS) routing is one of the key technologies to provide differential services and utilize the whole resource effectively for WSNS. We present a new energy best routing method which could meet the requirements of QoS bandwidth and has longer network life time.

This method Constructed the Node Selection Model, Energy Assessing Model. The genetic quantum Algorithm (QGA) which utilizes the set of the available nodes was used to construct the route. The Markov chain proved the algorithm that is strong convergence and also the convergence speed is exponent. In addition, the choosing intervals of the controlling parameters proposed by the QGA algorithm have been determined based on the simulations and the analysis results. It has been shown from the experiments that the energy best routing method has better adaptability and longer lifetime.

The sensing abilities of networked sensors are affected by environmental factors and their own degeneration such that the sensing abilities reduce to a smaller value, then a fuzzy annulus is formed. So it is fuzzy to anticipate this sensing behavior. We investigate the coverage issues in sensor networks based on fuzzy theory and propose a new notion of fuzzy geometric coverage. Based on this model, we define the best and worst-case fuzzy geometric coverage, and construct the Delaunay diagram and Voronoi diagram to solve the problem. The analysis and simulation results show that the proposed model has a good performance in solving fuzzy coverage problem in sensor networks.

This paper discusses the design of a sensor network for the security infrastructure of power system applications. The architecture of the whole system is designed in detail. And the implementation of software and hardware is described. IEC 61850 is adopted as the communication protocol in this system and IEEE 1451 as the interface. The whole system is actively synchronized with the combination of GPS and IEEE 1588 protocol.

Semantic Web and Sensor Networks are two exciting areas of ongoing research and development. While much of the existing research in sensor networks has focused on the design of sensors, communications, and networking issues, the needs and opportunities arising from the rapidly growing capabilities and scale of dynamically networked sensing devices open up demands for efficient data management and convenient programming models. Semantic web represents a spectrum of effective technologies that support complex, cross-jurisdictional, heterogeneous, dynamic and large scale information systems. Recently, growing research efforts on integrating sensor networks with semantic web technologies have led to a new frontier in networking and data management research. The goal of the chapter is to develop an understanding of the semantic web technologies, including sensor web, ontologies, and semantic sensor web services, which can contribute to the growth, application and deployment of large-scale sensor networks, leading to a broad interdisciplinary scope, such as ontology-based sensor networks, semantic sensor networks, cognitive radio networks, and so on.

The next-generation manufacture systems will deploy large-scale wireless sensor networks and super computers for autonomy. The large amount of information and complex decision support programs lead to new challenges on data storage and query. In this paper we analyze why the traditional RDBMSs are not suitable for the future WSNs and propose a tailored database storage engine SDORE to address the problem. SDORE firstly replaces the heavy concurrent mechanism with a lightweight timestamp-based protocol. Secondly it adopts an adaptive strategy to optimize the data distribution on hardware architectures dynamically. Experimental results show that the SDORE outperforms native RDBMS and gracefully adapts when the workload varies.

The traditional search engines show incompatibility and inefficiency in the search in the Internet of Things (IoT). To improve the effectiveness and efficiency of IoT search, we constructed a new search framework for IoT that supports searching for entities and the entity information featured by multidimensional dynamic data and status. We proposed and explained the MAMS (Matching Analytical Mechanism in Searching) system, in addition to the similarity matching method based on multidimensional sensory data to fulfil the search framework. Furthermore, we designed a set of reasonable experimental environment with real world data gathered by the Smart Lab to verify the validity and efficiency of the framework and algorithm. The experimental results demonstrates the efficiency and suitability of the search framework, MAMS and the similarity matching method for IoT search.

Data aggregation is an important method to reduce the communication overhead in wireless sensor networks. Authors proposed a Improved Pattern-based Encrypted Data Aggregation Scheme for wireless sensor networks. Cluster head broadcasts the hash value of detected reading to its child and the inner-cluster nodes with different hash values transmit messages to cluster head. Messages were encrypted with symmetric key and the cluster heads completed the operations such as data integrity verification, identity authentication and data aggregation without decryption. Analysis and simulation show that the proposed scheme can resilient against various malicious attacks effectively, provides higher security and lower communication overhead than related schemes.

With the development of high technology weapon, the execution and precision of weapon have made great improvement, which arouse many new challenge for treatment of war wounds. It is very urgent to research how to reduce casualty of individual solider. However, researches focus only on daily application recently. This paper discusses Intelligent Battlefield Treatment System (IBTS), and designs the framework of the service-oriented system based on WCF. The system has the following functions: testing the physical condition of a solider, disposing the distress signals intelligently, dispatching rescuers and assisting self-rescue or mutual-rescue to the wounded. The IBTS characteristics of data aggregate, multi-platform operation and data sharing can improve the treatment efficiency.

Nodes in a sensor networks may be lost because of power exhaustion or malicious attacks. Therefore it's necessary for new nodes' deployment. Using Bloom Filter, we propose an access control protocol including the mutual authentication procedure and common key generation. It's efficient for the nodes' addition, deletion and authentication. At last, the paper makes an analysis of the performance and safety about the proposed protocol.