In this paper we address the issues of forming secure multicast group within wireless sensor networks. We describe a protocol that establishes a secure multicast group, and distributes a group key by mutually authenti...
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ISBN:
(纸本)0780394100
In this paper we address the issues of forming secure multicast group within wireless sensor networks. We describe a protocol that establishes a secure multicast group, and distributes a group key by mutually authenticating a group of devices over an open insecure wireless channel. We choose a conference keying mechanism and extend it with symmetric authentication protocols and a key hierarchy on which group key could be distributed efficiently. We address two problems in this work. Firstly, the formation of secure groups in sensor network with a low communication complexity, secondly, provides an efficient solution to maintain such multicast group.
Mobile entity navigation in dynamic environments is an essential part of many mission critical applications like search and rescue and fire fighting. The dynamism of the environment necessitates the mobile entity to c...
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Reprogramming the sensor networks in place is an important and challenging problem. One way suggested for reprogramming is with the help of an UAV (Unmanned Ariel Vehicle). To reprogram a sensor network with the help ...
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We have developed a new on-line error modeling and optimization-based localization approach for sensor networks in the presence of distance measurement noise. The approach is solely based on the concept of consistency...
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Monitoring containers during transport in a secure, tamper resistant. and reliable manner, is the subject of the IBM Secure Trade Lane project (STL). We have evaluated a platform based on motes (i.e. very small comput...
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ISBN:
(纸本)088986568X
Monitoring containers during transport in a secure, tamper resistant. and reliable manner, is the subject of the IBM Secure Trade Lane project (STL). We have evaluated a platform based on motes (i.e. very small computers) and TinyOS as the base for communication in STL. We implemented an ieee 802.15.4 full functional device (FFD) MAC layer with beacon support, and we discovered that running this MAC layer was too much for the motes. We saw starvation and we experienced a far too slow data transfer between layers in TinyOS. We tried to overcome the starvation problems by introducing means to limit the high number of timer interrupts required by the MAC layer. Our approach is called Adaptive Timer Resolution, but it did not solve our problems in this case. We concluded that motes and TinyOS are insufficient for the 802.15.4 FFD MAC layer and that this platform is having problems running applications with a high frequency of interrupts, and still execute useful code in between. Our contributins are the evaluation of the mote platform by pushing it beyond its limits and our timer resolution control mechanism Adaptive Tinier Resolution.
We study the problem of data propagation in sensor networks, comprised of a large number of very small and low-cost nodes, capable of sensing, communicating and computing. The distributed co-operation of such nodes ma...
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We study the problem of data propagation in sensor networks, comprised of a large number of very small and low-cost nodes, capable of sensing, communicating and computing. The distributed co-operation of such nodes may lead to the accomplishment of large sensing tasks, having useful applications in practice. We present a new protocol for data propagation towards a control center ("sink") that avoids flooding by probabilistically favoring certain ("close to optimal") data transmissions. Motivated by certain applications (see [I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, Wireless sensor networks: a survey, Journal of Computer Networks 38 (2002) 393-422], [C. Intanagonwiwat, R. Govindan, D. Estrin, Directed diffusion: a scalable and robust communication paradigm for sensor networks, in: 6th ACM/ieee Annual internationalconference on Mobile computing (MOBICOM 2000), 2000, pp. 56-67]) and also as a starting point for a rigorous analysis, we study here lattice-shaped sensor networks. We however show that this lattice shape emerges even in randomly deployed sensor networks of sufficient sensor density. Our work is inspired and builds upon the directed diffusion paradigm of [C. Intanagonwiwat, R. Govindan, D. Estrin, Directed diffusion: a scalable and robust communication paradigm for sensor networks, in: 6th ACM/ieee Annual internationalconference on Mobile computing (MOBICOM 2000), 2000, pp. 56-67]. This protocol is very simple to implement in sensor devices, uses only local information and operates under total absence of co-ordination between sensors. We consider a network model of randomly deployed sensors of sufficient density. As shown by a geometry analysis, the protocol is correct, since it always propagates data to the sink, under ideal network conditions (no failures). Using stochastic processes, we show that the protocol is very energy efficient. Also, when part of the network is inoperative, the protocol manages to propagate data very close to the
With the wide application of Wireless sensor networks, the surveillance of wireless sensor networks itself has drawn more and more attention in recent years. Based on sensor nodes under TinyOS, we develop a monitoring...
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ISBN:
(纸本)0769526950
With the wide application of Wireless sensor networks, the surveillance of wireless sensor networks itself has drawn more and more attention in recent years. Based on sensor nodes under TinyOS, we develop a monitoring and control platform called MotePlat (1) to facilitate our development of WSN application systems. MotePlat employs a three-tier application framework and adopts an agent mechanism in the software architecture of sensor nodes and sink nodes. Users can remotely acquire node status information, such as its residual energy, a list of its neighbor nodes and link quality to each neighbor through this platform. They can also adjust configuration of sensor nodes, control the network to accomplish various tasks,, debug software modules of sensor nodes and test the network performance. In this paper, we describe some key technologies in MotePlat including node status information acquisition and network controlling mechanism, nodes' software architecture, and the workflow in the process of monitoring, control, debug and test.
We develop algorithms for finding the minimum energy transmission schedule for duty-cycle and rate constrained wireless sensor nodes transmitting over an interference channel. Since traditional optimization methods us...
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A broad range of embedded networked sensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance comput...
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ISBN:
(纸本)1595933344
A broad range of embedded networked sensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance computing and high bandwidth communication. Embedded computing demands for these new platforms include support for computationally intensive image and signal processing as well as optimization and statistical computing. To meet these new requirements while maintaining critical support for low energy operation, a new multiprocessor node hardware and software architecture, Low Power Energy Aware Processing (LEAP), has been developed. The LEA-P architecture integrates fine-grained energy dissipation monitoring and sophisticated power control scheduling for all subsystems including sensor subsystems. This paper also describes a new distributed node testbed demonstrating that by exploiting high high energy efficiency components and enabling proper on-demand scheduling, the LEAP architecture may meet both sensing performance and energy dissipation objectives for a broad class of applications.
As more and more innovative applications of wireless sensor networks emerge, the need for deploying heterogeneous sensors with different functionalities and capabilities rise rapidly. In this study, we consider a hete...
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ISBN:
(纸本)0769525539
As more and more innovative applications of wireless sensor networks emerge, the need for deploying heterogeneous sensors with different functionalities and capabilities rise rapidly. In this study, we consider a heterogeneous sensor network containing at least two types of sensors: powerful sensors and normal sensors. Powerful sensors have higher energy and computing capacities, and can communicate with normal senors using the same network interface. Communications between powerful sensors may thus be facilitated by building an overlay on top of the normal sensors. The topology of the overlay is critical. The overlay must have a low diameter to efficiently support upper layer applications such as resource discovery. It must also consider the energy consumption of the relaying normal sensors. In this paper, we propose a distributed overlay formation protocol to achieve the above goals. Through simulation, we compare our protocol with two overlay formation protocols, fully connected graph and minimum spanning tree. The results show that our proposed protocol can achieve better performance both in message latency and energy consumption.
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