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Deterministic secure positioning in wireless sensor networks 1

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4th ieee international conference on distributed computing in sensor systems

作者： Delaet, Sylvie Mandal, Partha Sarathi Rokicki, Mariusz A. Tixeuil, Sebastien Univ Paris 11 LRI UMR 8623 Paris France Indian Inst Technol Kanpur 208016 Uttar Pradesh India CNRS F-75700 Paris France Univ Paris 06 UMR 7606 F-75252 Paris 05 France INRIA Paris France

ISBN: (数字)9783540691709

ISBN: (纸本)9783540691693

Position verification problem is an important building block for a large subset of wireless sensor networks (WSN) applications. As a result, the performance of the WSN degrades significantly when misbehaving nodes report false location information in order to fake their actual position. In this paper we propose the first deterministic distributed protocol for accurate identification of faking sensors in a WSN. Our scheme does not rely on a subset of trusted nodes that cooperate and are not allowed to misbehave. Thus, any subset of nodes is allowed to try faking its position. As in previous approaches, our protocol is based on distance evaluation techniques developed for WSN. On the positive side, we show that when the received signal strength (RSS) technique is used, our protocol handles at most [n/2] - 2 faking sensors. When the time of flight (ToF) technique is used, our protocol manages at most [n/2] - 3 misbehaving sensors. On the negative side, we prove that no deterministic protocol can identify faking sensors if their number is [n/2] - 1. Thus, our scheme is almost optimal with respect to the number of faking sensors. We discuss application of our technique in the trusted sensor model. More specifically, our results can be used to minimize the number of trusted sensors that are needed to defeat faking ones.

关键词： wireless sensor network secure positioning distributed protocol

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Fuzzy Self-Clustering for Wireless sensor Networks

Fuzzy Self-Clustering for Wireless Sensor Networks

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5th international conference on Embedded and Ubiquitous computing

作者： Tashtoush, Yahya M. Okour, Mohammed A. Jordan Univ Sci & Technol Dept Comp Sci Irbid 22110 Jordan

ISBN: (纸本)9780769534923

This Paper is proposing a new protocol for uniformly clustering distributed wireless sensor networks based on fuzzy inference system. The objective of this protocol is increasing the lifetime of the sensor network by uniformly distributing the clusters on the wireless sensor network by reclustering the whole network repeatedly. The uniform distribution of clusters on the network provides efficient coverage of that network. Efficient coverage means that the clusters are neither overlapped nor leaving nodes in the network unclustered. Each sensor node uses the energy level, local density within its sensing range and time as parameters for clustering, re-clustering, and merging existed clusters by using fuzzy logic technique. The proposed protocol requires neither a prior knowledge of the sensor locations nor a centralized controller for clustering the sensor nodes. A comparison was conducted and found that the new protocol distributes clusters uniformly as good as ACE protocol and prolong the network lifetime in magnitude of 100% more than ACE.

关键词： wireless sensor network self clustering fuzzy clustering emergent protocol embedded systems

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Performance analysis of group based detection for sparse sensor networks

Performance analysis of group based detection for sparse sen...

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28th international conference on distributed computing systems, ICDCS 2008

作者： Zhang, Jingbin Zhou, Gang Son, Sang H. Stankovic, John A. Whitehouse, Kamin Computer Science Department University of Virginia Charlottesville VA 22903 United States Computer Science Department College of William and Mary Williamsburg VA 23187 United States

ISBN: (纸本)9780769531724

In this paper, we analyze the performance of group based detection in sparse sensor networks, when the system level detection decision is made based on the detection reports generated from multiple sensing periods. Sparse deployment is essential for reducing cost of large scale sensor networks, which cover thousands of square miles. In a sparse deployment, the sensor field is only partially covered by sensors' sensing ranges, resulting in void sensing areas in the region, but all nodes are connected through multi-hop networking. Further, due to the unavoidable false alarms generated by a single sensor in a network, many deployed systems use group based detection to reduce system level false alarms. Despite the popularity of group based detection, few analysis works in the literature deal with group based detection. In this paper, we propose a novel approach called Markov chain based Spatial approach (M-S-approach) to model group based detection in sensor networks. The M-S-approach successfully overcomes the complicated conditional detection probability of a target in each sensing period, and reduces the execution time of the analysis from many days to 1 minute. The analytical model is validated through extensive simulations. This analytical work is important because it provides an easy way to understand the performance of a system that uses group based detection without running countless simulations or deploying real systems. © 2008 ieee.

关键词： sensor networks

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Pervasive Self-Learning with Multi-Modal distributed sensors

Pervasive Self-Learning with Multi-Modal Distributed Sensors

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2nd ieee international conference on Self-Adaptive and Self-Organizing systems

作者： Bicocchi, Nicola Mamei, Marco Prati, Andrea Cucchiara, Rita Zambonelli, Franco Univ Modena & Reggio Emilia Modena Italy

ISBN: (纸本)9781424434688

Truly ubiquitous computing poses new and significant challenges. One of the key aspects that will condition the impact of these new tecnologies is how to obtain a manageable representation of the surrounding environment starting from simple sensing capabilities. This will make devices able to adapt their computing activities on an ever-changing environment. This paper presents a framework to promote unsupervised training processes among different sensors. This framework allows different sensors to exchange the needed knowledge to create a model to classify events. In particular we developed, as a case study, a multi-modal multi-sensor classification system combining data from a camera and a body-worn accelerometer to identify the user motion state. The body-worn accelerometer learns a model of the user behavior exploiting the information coming from the camera and uses it later on to classify the user motion in an autonomous way. Experiments demonstrate the accuracy, of the proposed approach in different situations.

关键词： Cameras

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Zero-Configuration of Pervasive Healthcare sensor Networks

Zero-Configuration of Pervasive Healthcare Sensor Networks

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3rd international conference on Pervasive computing and Applications

作者： Wagner, Stefan Engn Coll Aarhus Aarhus Denmark

ISBN: (纸本)9781424420209

Pervasive healthcare systems are trying to address the expected demand for caretaking and out-of-hospital monitoring. These systems allow for automatic and distributed monitoring of patients, but many of them are time consuming with regards to installation and maintenance configuration of the sensor network and communication platform. To avoid burdening caretaking staff and relatives with installing and configuring system software and hardware, a research project at the Engineering College of Aarhus, Pervasive Healthcare lab. has been trying to achieve a zero-configuration solution, removing most handling while at the users home. Achieving a true zero-configuration strategy has proven hard to implement especially with regards to the coupling of the individual wireless sensors to a specfic patient. This paper discusses the experiences gained so far with developing a prototype solution, including how zero-configuration was original v conceived, which problems were identified, and which solutions are being tested.

关键词： Pervasive computing Pervasive Healthcare Mobile computing Ubiquitous computing NFC Zero-configuration Cell phones Wireless sensors

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Online estimation of effective delivery capability in delay-tolerant mobile sensor networks

Online estimation of effective delivery capability in delay-...

引用

28th international conference on distributed computing systems Workshops, ICDCS Workshops 2008

作者： Yang, Zhipeng Dang, Ha Wu, Hongyi Center for Advanced Computer Studies University of Louisiana at Lafayette P.O. BOX 44330 Lafayette LA 70504 United States

ISBN: (纸本)9780769531731

The delay-tolerant mobile sensor network (DTMSN) distinguishes itself from conventional sensor networks by several unique characteristics, such as nodal mobility, sparse connectivity, delay tolerability, and fault tolerability. Being an opportunistic network where the communication links exist with certain probabilities only and thus become the scarcest resource, the routing metrics that have been commonly adopted in conventional networks do not reflect this unique network resource of DTMSN. Therefore, they may lead to poor network performance or even failure if used for routing in DTMSN. In this work, we investigate a simple and effective online estimation approach to obtain a converged and accurate parameter that reflects the node's effective delivery capability. Specifically, we devise an exponentially weighted moving average (EWMA) approach to effectively maintain and update the routing metrics. We prove that the expectation of the EWMA parameter converges to a constant when the nodes are under statically distributed mobility and the system becomes stable as time t → ∞, and the converged value is the average data delivery rate of the node. To further validate our discussion in a close-to-realistic mobility, we conduct simulations under the CRAWDAD mobility traces. The simulation results show that EWMA closely follows the variation of the actual delivery rate and thus serves as an effective metrics for efficient routing. © 2008 ieee.

关键词： sensor networks

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Efficient node discovery in mobile wireless sensor networks 1

引用

4th ieee international conference on distributed computing in sensor systems

作者： Dyo, Vladimir Mascolo, Cecilia UCL Dept Comp Sci Gower St London WC1E 6BT England Univ Cambridge Comp Lab Cambridge CB3 OFD England

ISBN: (数字)9783540691709

ISBN: (纸本)9783540691693

Energy is one of the most crucial aspects in real deployments of mobile sensor networks. As a result of scarce resources, the duration of most real deployments can be limited to just several days, or demands considerable maintenance efforts (e.g., in terms of battery substitution). A large portion of the energy of sensor applications is spent in node discovery as nodes need to periodically advertise their presence and be awake to discover other nodes for data exchange. The optimization of energy consumption, which is generally a hard task in fixed sensor networks, is even harder in mobile sensor networks, where the neighbouring nodes change over time. In this paper we propose an algorithm for energy efficient node discovery in sparsely connected mobile wireless sensor networks. The work takes advantage of the fact that nodes have temporal patterns of encounters and exploits these patterns to drive the duty cycling. Duty cycling is seen as a sampling process and is formulated as an optimization problem. We have used reinforcement learning techniques to detect and dynamically change the times at which a node should be awake as it is likely to encounter other nodes. We have evaluated our work using real human mobility traces, and the paper presents the performance of the protocol in this context.

关键词： Electronic data interchange

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Frugal sensor assignment 1

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4th ieee international conference on distributed computing in sensor systems

作者： Johnson, Matthew P. Rowaihy, Hosam Pizzocaro, Diego Bar-Noy, Amotz Chalmers, Stuart La Porta, Thomas Preece, Alun CUNY Grad Ctr Dept Comp Sci New York NY 10021 USA Penn State Univ Dept Comp Sci & Engn University Pk PA 16802 USA Cardiff Univ Sch Comp Sci Cardiff CF10 3AX S Glam Wales Univ Aberdeen Dept Comp Sci Aberdeen AB9 1FX Scotland

ISBN: (数字)9783540691709

ISBN: (纸本)9783540691693

When a sensor network is deployed in the field it is typically required to support multiple simultaneous missions, which may start and finish at different times. Schemes that match sensor resources to mission demands thus become necessary. In this paper, we consider new sensor-assignment problems motivated by frugality, i.e., the conservation of resources, for both static and dynamic settings. In general, the problems we study are NP-hard even to approximate, and so we focus on heuristic algorithms that perform well in practice. In the static setting, we propose a greedy centralized solution and a more sophisticated solution that uses the Generalized Assignment Problem model and can be implemented in a distributed fashion. In the dynamic setting, we give heuristic algorithms in which available sensors propose to nearby missions as they arrive. We find that the overall performance can be significantly improved if available sensors sometimes refuse to offer utility to missions they could help based on the value of the mission, the sensor's remaining energy, and (if known) the remaining target lifetime of the network. Finally, we evaluate our solutions through simulations.

关键词： Heuristic algorithms

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A receiver-based opportunistic forwarding protocol for mobile sensor networks

A receiver-based opportunistic forwarding protocol for mobil...

引用

28th international conference on distributed computing systems Workshops, ICDCS Workshops 2008

作者： Li, Lian Ma, Jian Sun, Limin Chen, Canfeng Beijing Institute of Technology Beijing China Naval Aeronautical and Astronautical University Yantai China Nokia Research Center Beijing China Institute of Software Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769531731

In mobile sensor networks, the mobility of nodes leads to frequent changes of network topology, therefore the communication links between source nodes and Sink vary dynamically. The Receiver-based Routing protocols do not need to establish global routing between source nodes and Sink, but allow the neighbor nodes of the sender to contend for the forwarding right under certain rules, and only the contention winner has the right to forward data. Existing Receiver-based Routing protocols can be applied to the mobile sensor networks, but they suffer from some disadvantages in the fields of forwarding priority calculation, data collisions, multicast suppression and routing void. A Receiver-based Opportunistic Forwarding protocol (ROF) was proposed in this paper. The ROF protocol optimized the forwarding priority calculation, and designed a dual-channel based forwarding right contention mechanism, which dealt with the data collision and multicast suppression problem better, and put forward an efficient mechanism for routing void bypass. The simulation results show that ROF is excellent in the aspects of communication consumption, forwarding delay and reliability. © 2008 ieee.

关键词： Routing protocols

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Towards diagnostic simulation in sensor networks 1

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4th ieee international conference on distributed computing in sensor systems

作者： Khan, Mohammad Maifi Hasan Abdelzaher, Tarek Gupta, Kamal Kant Univ Illinois Dept Comp Sci Chicago IL 60680 USA

ISBN: (数字)9783540691709

ISBN: (纸本)9783540691693

While deployment and practical on-site testing remains the ultimate touchstone for sensor network code, good simulation tools can help curtail in-field troubleshooting time. Unfortunately, current simulators are successful only at evaluating system performance and exposing manifestations of errors. They are not designed to diagnose the root cause of the exposed anomalous behavior. This paper presents a diagnostic simulator, implemented as an extension to TOSSIM [6]. It (i) allows the user to ask questions such as "why is (some specific) bad behavior occurring?", and (ii) conjectures on possible causes of the user-specified behavior when it is encountered during simulation. The simulator works by logging event sequences and states produced in a regular simulation run. It then uses sequence extraction, and frequent pattern analysis techniques to recognize sequences and states that are possible root causes of the user-defined undesirable behavior. To evaluate the effectiveness of the tool, we have implemented the directed diffusion protocol and used our tool during the development process. During this process the tool was able to uncover two design bugs that were not addressed in the original protocol. The manifestation of these two bugs were same but the causes of failure were completely different - one was triggered by node reboot and the other was triggered by an overflow of timestamps generated by the local clock. The case study demonstrates a success scenario for diagnostic simulation.

关键词： sensor network diagnostic simulation frequent pattern mining

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