Wireless sensor Network is a network of hundreds or thousands of sensor Nodes. These Nodes communicate with each other with short range radio signals. These nodes are small in size and have very limited battery power....
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ISBN:
(纸本)9781509001484
Wireless sensor Network is a network of hundreds or thousands of sensor Nodes. These Nodes communicate with each other with short range radio signals. These nodes are small in size and have very limited battery power. The focus of the researchers is always on developing the routing protocols having the low power consumption to enlarge the life time of the network. In this paper we have proposed Energy Aware Diffusion for wireless sensornetworks which is based on directed diffusion. In Directed Diffusion The path selection done by the Sink Node is based on the quality of the path (i.e. the path will be selected based on the higher data rate). In our approach the sink will select a path which will require minimum energy to send the data from source to sink. The experimental results shows that the proposed algorithm works better in terms of network life time, average end to end delay and energy savings.
Data aggregation is an important task in data centric heterogeneous wireless sensornetworks because of its varying power and computational capabilities. Due to the deployment of sensor nodes in large numbers for diff...
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ISBN:
(纸本)9783642144776
Data aggregation is an important task in data centric heterogeneous wireless sensornetworks because of its varying power and computational capabilities. Due to the deployment of sensor nodes in large numbers for different applications, a single node is not sufficient for performing data aggregation. Hence multiple nodes are required to summarize the relevant information from huge data sets. The process of data aggregation is vulnerable to many threats like loss of cryptographic keys, false data injection etc. To address these issues, we present the Secure Data Aggregation with Key Management (SDAKM) scheme. It provides a secure framework for the data centric heterogeneous wireless sensornetworks using additive privacy homomorphism. It uses the heterogeneity of the sensor nodes for performing encrypted data processing and also provides an efficient key management scheme for data communication among sensor nodes in the network. This scheme offers higher security and has less computing overhead as it uses additive privacy homomorphism.
Application of wireless devices is increasing day-by-day in all areas of human life throughout the world. Most of these devices are based on tiny sensors that collect information from surrounding environment automatic...
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Application of wireless devices is increasing day-by-day in all areas of human life throughout the world. Most of these devices are based on tiny sensors that collect information from surrounding environment automatically without any human intervention when they are deployed in the environment thus creating wireless sensornetworks. These tiny sensors are highly energy constrained due to their limited battery, storage, processing power and communication capacity. The constraint makes 'Energy Efficiency' one of the most investigated themes among researchers in wireless sensornetworks. In the past, various energy efficient data collection techniques have been suggested in the literature. This paper presents a qualitative review of recent advances in data collection techniques in WSN. The review classifies each of the considered techniques based on underlying topology. A second level categorization of these techniques is done based on energy saving scheme used. A comparison of these techniques is provided for qualitatively evaluating these techniques. The review concludes with a discussion on limitations of the considered techniques. (C) 2015 The Authors. Published by Elsevier B.V.
This paper focuses on the 3D coverage problem in Wireless sensornetworks employing real-world terrain models. Firstly, we examine the sensing models used in WSN and propose novel deployment strategies. Then, we study...
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ISBN:
(纸本)9781424428809
This paper focuses on the 3D coverage problem in Wireless sensornetworks employing real-world terrain models. Firstly, we examine the sensing models used in WSN and propose novel deployment strategies. Then, we study the coverage behavior of these heterogeneous deployment strategies under three 3D real-world terrain models. Our purpose is to find answers to questions like which deployment strategy gives the best 3D coverage for a specified 3D terrain and how many sensors are needed to maintain coverage at a specified percentage. Furthermore, on these 3D real-world terrain models we also study the effects of sleeping on coverage. Simulation results demonstrate that for a given terrain type an appropriate deployment strategy can be selected to obtain required 3D coverage level.
sensornetworks are gaining more and more attention in the current technology landscape. It is undeniable that their use allows a better monitoring of events that occur in the real world. Many sensors have been deploy...
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ISBN:
(纸本)9781479959792
sensornetworks are gaining more and more attention in the current technology landscape. It is undeniable that their use allows a better monitoring of events that occur in the real world. Many sensors have been deployed for monitoring applications such as environmental monitoring, and traffic monitoring. A number of governments, corporates, and academic organizations or agencies hold independently sensor systems that generate a large amount of dynamic information from data sources with various formats of schemas and data. They are making this sensor data openly accessible by publishing it as Linked sensor Data (LSD) on the Linked Open Data (LOD) cloud. LSD is the concept that defines the publication of public or private organization sensor data without restrictions. This is achieved by transforming raw sensor observations to rdF format and by linking it with other datasets on the LOD cloud. The seamless integration of LSD sources from multiple providers is a great challenge. In this paper, we investigate the possibility of integrating diverse LSD sources using the hybrid ontology approach for on-line analytical processing (OLAP) on-the-fly. With such an ontology-based integration framework, organizations or individuals will have greater opportunity to make their respective analysis based on a large amount of sensor data openly accessible on the Web.
sensor network is a key technology for the 21st century. Our research aims to formulate and implement a new conceptual model for the next generation of networked sensor devices, which encompasses not only intelligence...
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H.264/AVC is expected to become an essential component in the delivery of wireless multimedia content. While achieving high compression ratios, this codec is extremely vulnerable to transmission errors. These errors g...
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ISBN:
(纸本)9781424416875
H.264/AVC is expected to become an essential component in the delivery of wireless multimedia content. While achieving high compression ratios, this codec is extremely vulnerable to transmission errors. These errors generally result in spatio-temporal propagation of distorted macroblocks (MBs) which significantly degrade the perceptual quality of the reconstructed video sequences. This paper presents a scheme for resilient transmission of H.264/AVC streams in noisy environments. The proposed algorithm exploits the redundant information which is inherent in the neighboring MBs and applies a Probabilistic Neural Network (PNN) classifier to detect visually impaired MBs. This algorithm achieves Peak Signal-to-Noise Ratio (PSNR) gains of up to 14.29 dB when compared to the standard decoder. Moreover, this significant gain in quality is achieved with minimal overheads and no additional bandwidth requirement, thus making it suitable for conversational and multicast/broadcast services where feedback-based transport protocols cannot be applied.
In this paper the problem of localization of wireless sensor network is formulated as an unconstrained nonsmooth optimization problem. We minimize a distance objective function which incorporates unknown sensor nodes ...
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ISBN:
(纸本)9781424415014
In this paper the problem of localization of wireless sensor network is formulated as an unconstrained nonsmooth optimization problem. We minimize a distance objective function which incorporates unknown sensor nodes and nodes with known positions (anchors) in contrast to popular semidefinite programming (SDP) methods which use artificial objective functions. We study the main properties of the objective function in this problem and design an algorithm for its minimization. Our algorithm is a derivative-free discrete gradient method that allows one to find a near global solution. The algorithm can handle a large number of sensors in the network. This paper contains the theory of our proposed formulation and algorithm while experimental results are included in later work.
We develop and analyze expressions on the required instantaneous signal-to-noise ratios for wireless relay networks in this paper. Two basic schemes are studied, namely the one-relay case and the two-relay case. The l...
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ISBN:
(纸本)9781424416875
We develop and analyze expressions on the required instantaneous signal-to-noise ratios for wireless relay networks in this paper. Two basic schemes are studied, namely the one-relay case and the two-relay case. The latter can further be divided into a two-phase and a three-phase! scheme, respectively. In the two-phase scheme both relays are only allowed to transmit with half the power in order to ensure fair comparison between the different schemes. Moreover, for the one-relay case and the two-phase scheme, each terminal must serve double the target rate, whereas in the three-phase scheme, each terminal has to serve three times the target rate to ensure that the amount of transmitted information remains constant We show the following correspondences when decode-and-forward relaying and selection combining is applied in Rayleigh fading environments: For the one-relay case gamma proportional to 1/root p(out) and for both two-relay schemes gamma proportional to 1/3 root p(out). We further show that an increase in data rate of 1 bit/s/Hz results in a required increase of signal-to-noise ratio of 6 dB for the one-relay case and the two-phase two-relay scheme, and an increase of 9 dB for the three-phase two-relay scheme.
Although data-gathering MAC in [1] is an energy efficient and low latency protocol designed for data gathering tree structures, nodes which are located in the vicinity of the sink node, may suffer from packet collisio...
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ISBN:
(纸本)9781424415014
Although data-gathering MAC in [1] is an energy efficient and low latency protocol designed for data gathering tree structures, nodes which are located in the vicinity of the sink node, may suffer from packet collision and loss due to many-to-one traffic patterns in tree structures under heavy traffic loads. In addition, this leads to wastes energy for retransmissions of dropped packets. In this paper, we propose an energy-efficient MAC protocol with a periodic full sleep cycle at leaf nodes to mitigate overloads at low depth nodes in heavy traffics. In the protocol, leaf nodes go into a full sleep state for one cycle in heavy traffics, which results in a considerably reduction of packet collisions, drops, and energy consumption at low depth nodes. Simulations show the proposed protocol saves more energy and achieves a better packet delivery ratio compared to the existing protocols.
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