In this work, we have examined the problem of distributed consensus averaging over senor networks from a novel point of view considering the need for security. We have proposed a method for incorporating privacy into ...
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ISBN:
(纸本)9781424407781
In this work, we have examined the problem of distributed consensus averaging over senor networks from a novel point of view considering the need for security. We have proposed a method for incorporating privacy into the scalable average consensus mechanisms. Our proposed method, Random Projections Method (RPM), is lightweight and transparent since it is not based on cryptography and does not require any change in the fusion system. RPM is based on introducing a simple, yet effective pre-fusion algorithm. We mathematically derived the correctness of RPM and analyzed its effect on convergence of the system through simulation. Robustness of RPM against honest-but-curious adversaries is analyzed and it is shown that the proposed method has maximum robustness saving that the victim has at least one non-colluding neighbor.
Mobile networking, mobile systems and applications and ubiquitous computing infrastructures are of strongly growing importance in the IT sector in general, and for the parallel and distributed computing community. Par...
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ISBN:
(纸本)9783540747666
Mobile networking, mobile systems and applications and ubiquitous computing infrastructures are of strongly growing importance in the IT sector in general, and for the parallel and distributed computing community. Particularly, when an signed (authenticated), information of multi-node is aggregated in ubiquitous sensornetworks, the number of the signing information is very small. Thus, signature scheme which signs information has strong unforgeability. In 2005 Yu and Chen proposed threshold signature scheme [12]. Their scheme has a high efficiency. But, their scheme is not suitable for ubiquitous sensornetworks because their scheme has no strong unforgeability. In this paper, we modify their scheme so that modified scheme is suitable for ubiquitous sensornetworks. Also, our scheme has a good efficiency, and a smaller secret key than other cryptosystems with a similar security level.
Energy and bandwidth constraint have been the bottleneck of sensor network applications in years. We work on how to decide the sensor nodes density to guarantee a full coverage and reduce redundancy sensor nodes to re...
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In this paper, we presented the wireless sensornetworks (WSN) to observe the human physiological signals by ZigBee, which is provided with lower power consumption, small volume, high expansion, stylization and two-wa...
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ISBN:
(纸本)9780769529943
In this paper, we presented the wireless sensornetworks (WSN) to observe the human physiological signals by ZigBee, which is provided with lower power consumption, small volume, high expansion, stylization and two-way transmission, etc. ZigBee is generally used for home care, digital home control, industrial and security control. This paper developed a suite of home care sensor network system by ZigBee's characteristic, which is embedded three sensors (temperature sensor, humid sensor, and light sensor). It is attached to other sensors, such as the biosensor for observe heart rate and blood pressure. We implemented Panasonic EW3035 blood pressure monitor to measure heart rate and bloodpressure. The biosensor transmits measured signals via ZigBee, and then sends to tide remote wireless monitor for acquiring the observed human physiological signals. The remote wireless monitor is constructed of ZigBee and personal computer (PC). The measured signals send to the PC, which can be data collection, analyzing and statistic. When the measured signals over the standard value, the personal computer sends Global System for Mobile Communication (GSM) short message to the manager. The manager can use the PC or personal digital assistant (PDA) to observe the observed human physiological signals in the remote place.
The following topics are dealt: sensornetworks; sensor fusion; intelligent sensors; informationprocessing in sensornetworks; sensor network security; machine learning and applications; autonomous configuration; con...
The following topics are dealt: sensornetworks; sensor fusion; intelligent sensors; informationprocessing in sensornetworks; sensor network security; machine learning and applications; autonomous configuration; control in dynamic wireless networks; middleware; computational intelligence for sensornetworks; bio-signal processing and networked sensors in healthcare; environmental sensornetworks; and optimization in sensornetworks.
A category of wireless sensornetworks consists of lots of autonomous sensor nodes with limited power and few base stations with theoretically unlimited power. A number of redundant nodes are usually deployed densely ...
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ISBN:
(纸本)9783540747413
A category of wireless sensornetworks consists of lots of autonomous sensor nodes with limited power and few base stations with theoretically unlimited power. A number of redundant nodes are usually deployed densely in these types of networks in order to provide redundancy for sensing and communications. There is a challenge though of which nodes must be active and which ones must be asleep, without compromising the coverage and network connectivity. To get round this challenge, each node should somehow know the position of its immediate neighbors. Previous researches have impractically assumed the existence of a GPS module in each node, which is in direct contradiction with the main constraints of low cost and size of sensor nodes. This paper proposes an energy saving solution without requiring the nodes to possess any physical GPS. The goal is to minimize the number of active sensors with respect to coverage and connectivity. Each node decides locally by itself whether to be active or not. There is no need for any global synchronization between nodes. Simulation results show that the higher density of nodes in our proposed solution leads to better coverage, higher energy saving and longer network lifetime.
Existing sensor network architectures are based on the assumption that data will be polled. Therefore, they are not adequate for long-term battery-powered use in applications that must sense or react to events that oc...
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ISBN:
(纸本)9781595936387
Existing sensor network architectures are based on the assumption that data will be polled. Therefore, they are not adequate for long-term battery-powered use in applications that must sense or react to events that occur at unpredictable times. In response, and motivated by a structural autonomous crack monitoring (ACM) application from civil engineering that requires bursts of high resolution sampling in response to aperiodic vibrations in buildings and bridges, we have designed, implemented, and evaluated lucid dreaming, a hardware-software technique to dramatically decrease sensor node power consumption in this and other event-driven sensing applications. This work makes the following main contributions: (1) we have identified the key mismatches between existing, polling-based, sensor network architectures and event-driven applications;(2) we have proposed a hardware-software technique to permit the power-efficient use of sensornetworks in event-driven applications;(3) we have analytically characterized the situations in which the proposed technique is appropriate;and (4) we have designed, implemented, and tested a hardware-software solution for standard Crossbow motes that embodies the proposed technique. In the building and bridge structural integrity monitoring application, the proposed technique achieves 1/245 the power consumption of existing sensor network architectures, thereby dramatically increasing battery lifespan or permitting operation based on energy scavenging. We believe that the proposed technique will yield similar benefits in a wide range of applications. Printed circuit board specification files permitting reproduction of the current implementation are available for free use in research and education.
In this paper, we propose and analyze an Opportunistic Power Allocation (OPA) scheme suitable for decentralized parameter estimation in WSNs. In this scheme, only sensors experiencing favorable channels conditions (i....
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ISBN:
(纸本)9781424418343
In this paper, we propose and analyze an Opportunistic Power Allocation (OPA) scheme suitable for decentralized parameter estimation in WSNs. In this scheme, only sensors experiencing favorable channels conditions (i.e. above a channel gain threshold) participate in the estimation process by adjusting their transmit power on the basis of local Channel State information (CSI). In particular, we address two different problems: the minimization of distortion under a sum-power constraint, and the minimization of transmit power for a given target distortion. For each design, we (1) derive a closed-form expression of the channel gain threshold on the basis of statistical CSI only, and (2) define the corresponding power allocation rule. Then we assess the performance of the proposed OPA scheme by means of computer simulations, and we carry out a comparison with other water-filling (i.e. optimal) and Uniform Power Allocation (UPA) solutions. Results are given in terms of attained distortion level, transmit power, ability to exploit multi-user diversity and number of FC-sensor channels required.
Wireless sensornetworks which are envisioned to consist of many simple processing, storage, sensing, and communication capabilities are believed to open the doors to a plethora of new applications. Efficient robust d...
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ISBN:
(纸本)9783540747666
Wireless sensornetworks which are envisioned to consist of many simple processing, storage, sensing, and communication capabilities are believed to open the doors to a plethora of new applications. Efficient robust data aggregation is a key feature in informationprocessing in wireless sensor environments, especially in the presence of faulty sensor nodes which arise due to harsh environments or manufacturing reasons. These conditions highly affect the quality of gathering data in different locations and times. In this paper we propose a distributed localized method for detecting regions that are susceptible to message loss above a given threshold, and then based on this method we suggest an algorithm for clustering nodes in that region which proportionally adapts based on message loss. Simulation experiments confirm the validity of the proposed algorithm with a high degree of accuracy.
Due to energy constraints in individual sensor nodes, extending the lifetime is an essential objective in Wireless sensornetworks (WSNs). Several proposals have aimed at that objective by designing energy efficient p...
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ISBN:
(纸本)9781424418343
Due to energy constraints in individual sensor nodes, extending the lifetime is an essential objective in Wireless sensornetworks (WSNs). Several proposals have aimed at that objective by designing energy efficient protocols at the physical, medium access, and network layers. While the proposed protocols achieve significant energy savings for individual sensor nodes, they fail to solve topology-related problems;an example of such problems is that sensor nodes around the base station become bottlenecks and deplete their battery energy much faster than other nodes. A natural solution to such a problem is to have multiple mobile base stations so that the load is distributed evenly among all nodes. Only few proposals have followed that direction. In this paper we propose a mobile base station placement scheme for extending the lifetime of the network. In our scheme the life of the network is divided into rounds and base stations are moved to new locations at the beginning of each round. While previous work has focused on placing the base stations at predefined spots (e.g., the work in [1]) or at the boundary of the network (e.g., the work in [2]), we define and solve a more general problem in which a base station can be placed anywhere in the sensing field. We formulate the problem as an Integer Linear Program (IILP) and use an ILP solver (with a constant time limit) to find a near-optimal placement of the base stations and to find routing patterns to deliver collected data to base stations. Our experiments show that our scheme makes significant extension to the lifetime of the network.
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