TL;DR: The fundamental research challenges in this field including communication reliability and timeliness, QoS support, data management services, and autonomic behaviors are introduced and the main solutions proposed in the literature for each are discussed.

TL;DR: The results suggest that a scalable NRS for 10^1^5 and more objects with resolution latencies (well) below 100ms is possible, implying that a global Network of Information that removes the need for today's application-specific overlay solutions is feasible.

TL;DR: It turns out that in general the choice of the duty cycle value is more important for achieving energy efficiency than the choices of the mobility radius of the sink, especially in terms of Emax.

TL;DR: Performance analysis and simulation results show that the proposed model can maintain the network stability, reduce the end-to-end delay, increase the packet delivery ratio, and reduce the communications overhead.

TL;DR: A comprehensive survey for CDSs and related problems with various network models and specific applications is given and some open problems and interesting issues in this field are proposed.

TL;DR: A detailed analysis of a real Facebook data set aimed at characterising the properties of human social relationships in online environments finds that the recency of contact between individuals has the highest relevance in the prediction of tie strength.

TL;DR: This paper proposes an intelligent and distributed channel selection strategy, SURF, that classifies the available channels and uses them efficiently to increase data dissemination reliability in multi-hop cognitive radio networks.

TL;DR: A thorough simulation study of the main system performance of Content Centric Networks, with a special focus on multi-path interest forwarding strategies but thoroughly analyzing the impact of several other ingredients - such as network topology, content popularity, caching decisions and replacement policies.

TL;DR: Trust-based analysis of the OLSR protocol using trust specification language is presented, and it is shown how trust-based reasoning can allow each node to evaluate the behavior of the other nodes and counter the malicious nodes.

TL;DR: A general hierarchical NRS framework for flat ID namespaces is presented and results imply that a flat namespace can be adopted on a global scale, opening up several design alternatives for information-centric network architectures.

TL;DR: This paper proposes a hash-based mechanism which enhances the resiliency of key pre-distribution for WSN and gives birth to an enhanced scheme which is more resilient against node capture attacks.

TL;DR: A novel framework of real-time data report and task execution (RTRE) for automated WSANs in this paper takes advantage of mobile actuators to demonstrate the advantage of RTRE when compared with the other related work in terms of timeliness and energy efficiency.

TL;DR: A trust prediction model to evaluate the trustworthiness of nodes, which is based on the nodes' historical behaviors and fuzzy logic rules prediction method is presented, which achieves a remarkable improvement in the packet delivery ratio, network throughput and malicious attack resistance.

TL;DR: This paper extends the spare capacity allocation (SCA) problem from single link failure to dual link failures on mesh-like IP or WDM networks and compares the passive/active approaches which consider spare capacity sharing after/during the backup path routing process.

TL;DR: A PCA-based anomaly detection algorithm called ADMIRE, which uses three-step sketches and an adaptive parameter setting to improve the detection performance and ease its use in practice, is proposed and evaluated.

TL;DR: The problem of the minimum sampling quality, where an event must be sufficiently detected by the maximum possible amount of time, is described and a localized algorithm based on mobile nodes is presented, which sacrifices a part of the energy of the nodes by moving them to a new location in order to satisfy the desired detection accuracy.

TL;DR: In this paper, a gradient-based fully distributed cooperative spectrum sensing in cognitive radio is proposed for ad hoc networks, in which the licensed band used for TV transmission is considered the primary user, and the gradient is calculated based on the components, which include energy sensed by secondary users and received from neighbors.

TL;DR: This paper provides a tutorial survey and a measurement study to understand the anonymity technology usage on the Internet from multiple perspectives and platforms and reveals that Tor and proxy servers are used more than other anonymity techniques.

TL;DR: By utilizing the fluid-flow model of TCP networks, the PI controllers designed for TCP/AQM are studied to provide a guideline for choosing a PI controller for AQM given specific performance requirements.

TL;DR: The energy consumption characteristics of the Wireless HART protocol when operated with a popular transceiver, the ChipCon CC2420, are analyzed and it turns out that in light traffic scenarios and with only a minimum-complexity level of exploitation of the transceivers sleeping capabilities the energy spent in the sleep state over 12h is quite substantial.

TL;DR: Experimental results of the proposed stateful SIP inspection mechanism, called SIP-VoIP Anomaly Detection (SIPAD), indicate that it dramatically reduces overhead and can be deployed in resource-constrained environments such as smartphones.

TL;DR: This paper proposes an incremental deployment solution - INCOME - to solve the minimum sensor deployment problem, which does not require any prior knowledge of the dark/light distribution of the field, and formally proves that the sensor number needed in IN COME is less than that of regular division.

TL;DR: This work presents a scalable solution for distributed multicast of fingerprinted content, in which receivers rationally co-operate in fingerprinting and spreading the content.

TL;DR: This paper proposes a secure and reliable data distribution scheme that can provide forward secrecy, probabilistic backward secrecy and data reliability, and shows the superiority of the proposed scheme in comparison with several existing schemes developed for UWSNs.

TL;DR: This paper investigates the interconnection problem when the number of available RNs is insufficient for forming a stable topology and a mix of RNs and MDCs is to be used and presents a novel algorithm for determining where the RNs are to be placed and planning optimized travel paths for the MDC's so that the data delivery latency as well as the M DC motion overhead are minimized.

TL;DR: In this article, auctions are used to improve the recent information mesh (iMesh) based distance sensitive service discovery in the wireless sensor and actuator networks (WSANs), thus improving overall energy efficiency and lifetime of the network.

TL;DR: This paper presents a comprehensive survey of the proposed mobility management mechanisms that are using Media Independent Handover, the standard addressing a uniform and media-independent framework for seamless handover between different access technologies.

TL;DR: This paper designs two basic algorithms and an advanced algorithm framework for channel assignment in cognitive radio networks and shows that the proposed framework is fast (two rounds of communication among nodes, regardless of network size) and outperforms an existing method.

TL;DR: This paper proposes an online statistical traffic classifier using the C4.5 machine learning algorithm running on the NetFPGA platform that is able to classify the input traffics at the maximum line speed of the Net FPGA platform, i.e. 8Gbps without any packet loss.