Search results for "sensor network"

showing 10 items of 380 documents

Wireless sensor network for Spectrum Cartography based on Kriging interpolation

2012

Dynamic spectrum access with Cognitive Radio (CR) network is a promising approach to increase the efficiency of spectrum usage. To allow the optimization of resource allocation and transmission adaptation techniques, each CR terminal needs to acquire awareness of the state of the time-frequency-location varying radio spectrum. In this paper we present a Spectrum Cartography (SC) approach where CR terminals are supported by a fixed wireless sensor network (WSN) to estimate and update the Power Spectral Density (PSD) over the area of interest. The wireless sensors collaborate to estimate the spatial distribution of the received power at a given frequency using either a centralized or a distri…

Computer sciencebusiness.industry05 social sciences050801 communication & media studies020206 networking & telecommunications02 engineering and technologyRadio spectrumKey distribution in wireless sensor networks0508 media and communicationsCognitive radioKriging0202 electrical engineering electronic engineering information engineeringResource allocationWirelessRadio resource managementFixed wirelessbusinessWireless sensor networkCartography
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ACT-MAC: An asynchronous cooperative transmission MAC protocol for WSNs

2014

Duty cycling (DC) has been proven to be an efficient mechanism to reduce energy consumption in wireless sensor networks (WSNs). On the other hand, cooperative transmission (CT) enables longer range transmission to hop over an energy-hole node, resulting in more balanced energy consumption among nodes. In the literature, there exist few CT MAC protocols for DC operated WSNs and these protocols rely on fixed cycle length. In this paper, we propose a novel variable cycle length protocol, namely asynchronous cooperative transmission medium access control (ACT-MAC), which contains both features of reducing the unnecessary idle listening by DC and mitigating the energy-hole by making use of CT. T…

Computer sciencebusiness.industryAsynchronous communicationComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSComputer Science::Networking and Internet ArchitectureAccess controlEnergy consumptionbusinessWireless sensor networkEfficient energy useHop (networking)Computer network2014 IEEE International Conference on Communications Workshops (ICC)
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MSS: A Multi-Level Data Placement Scheme for Data Survival in Wireless Sensor Networks

2009

In recently popularized unattended wireless sensor networks, sensed data are stored locally or some designated nodes for a long term and retrieved sometime by collectors on demand. Such data may be delete or modified as sensor nodes are always exposed to risks such as random failure and mobile adversary. To maximize the data survival, we propose a secure and efficient scheme - MSS. MSS makes use of hopbounded computational secret sharing to achieve fault tolerance and compromise resilience, and takes advantages of multi-level secret sharing to mitigate communication overhead and improve overall security. MSS has the most advantages in terms of security and efficiency among presented schemes…

Computer sciencebusiness.industryDistributed computingDistributed data storeOverhead (computing)Fault toleranceAdversarybusinessResilience (network)Wireless sensor networkSecret sharingComputer networkTerm (time)2009 5th International Conference on Wireless Communications, Networking and Mobile Computing
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A Scheme for Secure and Reliable Distributed Data Storage in Unattended WSNs

2010

Unattended Wireless Sensor Networks (UWSNs) operated in hostile environments face a risk on data security due to the absence of real-time communication between sensors and sinks, which imposes sensors to accumulate data till the next visit of a mobile sink to off-load the data. Thus, how to ensure forward secrecy, backward secrecy and reliability of the accumulated data is a great challenge. For example, if a sensor is compromised, pre-compromise data accumulated in the sensor is exposed to access. In addition, by holding key secrecy of the compromised sensor, attackers also can learn post-compromise data in the sensor. Furthermore, in practical UWSNs, once sensors stop working for accident…

Computer sciencebusiness.industryForward secrecyReliability (computer networking)Node (networking)SecrecyDistributed data storeProbabilistic logicData securitybusinessWireless sensor networkComputer network2010 IEEE Global Telecommunications Conference GLOBECOM 2010
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Cooperative or non-cooperative transmission in synchronous DC WSNs: A DTMC-based approach

2017

Cooperative transmission (CT) enables balanced energy consumption among sensor nodes and mitigates the energy hole problem in wireless sensor networks (WSNs). In typical CT enabled medium access control (MAC) protocols, a source node decides to trigger CT or not based on a residual energy comparison between itself and its relay node. In this paper, we propose a receiver initiated CT MAC protocol, in which the receiving node makes the decision on initiating CT or not based on a tradeoff between performing CT and non-CT. In this way, nodes can avoid idle listening and achieve an extended lifetime. A discrete-time Markov chain (DTMC) model is developed to analyze the performance of CT associat…

Computer sciencebusiness.industryNode (networking)05 social sciencesReal-time computing050801 communication & media studies020206 networking & telecommunications02 engineering and technologyEnergy consumptionSynchronizationlaw.invention0508 media and communicationsTransmission (telecommunications)RelaylawComputer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringbusinessWireless sensor networkEnergy (signal processing)Computer networkEfficient energy use2017 IEEE International Conference on Communications (ICC)
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Maximum Lifetime of the Wireless Sensor Network and the Gossip Problem

2018

In the gossip problem each node of the graph G possesses a unique piece of information - the gossip message. A sequence of one-way or two-way communications between pair of nodes is made to spread the messages so that any node of the graph knows all the gossips. The question is, what is the minimum number of calls between pairs of nodes needed to exchange all gossip messages? The solution to the two-way communication gossip problem is that \(2N-4\) calls (\(N\ge 4\)) suffice if and only if the graph contains a four cycle subgraph. For one-way communication problem the classical results states that in a strongly connected graph \(2N-2\) calls (\(N\ge 4\)) suffice. In this paper we consider t…

Computer sciencebusiness.industryNode (networking)ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSEnergy management020206 networking & telecommunicationsContext (language use)02 engineering and technologyLoad balancing (computing)Transmission (telecommunications)Gossip0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)Sensor network lifetime020201 artificial intelligence & image processingGossipingbusinessWireless sensor networkConnectivityComputer network
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Study of transmission parameters under controlled multipath environment using Rasp Pi3

2018

The evaluation of QoS in mobile multipath environments is an interesting topic in modern communications. The use of Raspberry Pi as a low cost microcomputer board developed in the United Kingdom by the Raspberry Pi Foundation can be helpful in onsite deployments. The Pi3 model has integrated WiFi and Bluetooth connectivity and also 4 USB ports to expand the device with all kinds of peripheral. Under the premise of offering the power of a computer at low prices, this device is one of the most affordable ways to have a particularly efficient and dynamic hardware accessible at a low price to develop a Wireless Sensor Netwok (WSN). The use of the Raspberry Pi3 permits the development of a power…

Computer sciencebusiness.industryQuality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunications02 engineering and technologyUSBlaw.inventionBluetoothBase stationlawMicrocomputer0202 electrical engineering electronic engineering information engineeringWireless020201 artificial intelligence & image processingbusinessWireless sensor networkComputer hardwareMultipath propagationProceedings of the Euro American Conference on Telematics and Information Systems
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A new autonomous data transmission reduction method for wireless sensors networks

2018

International audience; The inherent limitation in energy resources and computational power for sensor nodes in a Wireless Sensor Network, poses the challenge of extending the lifetime of these networks. Since radio communication is the dominant energy consuming activity, most presented approaches focused on reducing the number of data transmitted to the central workstation. This can be achieved by deploying both on the workstation and the sensor node a synchronized prediction model capable of forecasting future values. Thus, enabling the sensor node to transmit only the values that surpasses a predefined error threshold. This mechanism offers a decrease in the cost of transmission energy f…

Computer sciencebusiness.industryReal-time computing020206 networking & telecommunications[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technology[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation7. Clean energy[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingReduction (complexity)[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Transmission (telecommunications)[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]020204 information systemsSensor node0202 electrical engineering electronic engineering information engineeringWireless[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessWireless sensor networkEnergy (signal processing)Data transmissionData reduction2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)
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Predictive models for energy saving in Wireless Sensor Networks

2011

ICT devices nowadays cannot disregard optimizations toward energy sustainability. Wireless Sensor Networks, in particular, are a representative class of a technology where special care must be given to energy saving, due to the typical scarcity and non-renewability of their energy sources, in order to enhance network lifetime. In our work we propose a novel approach that aims to adaptively control the sampling rate of wireless sensor nodes using prediction models, so that environmental phenomena can be consistently modeled while reducing the required amount of transmissions; the approach is tested on data available from a public dataset.

Computer sciencebusiness.industryReliability (computer networking)Distributed computingData modelingKey distribution in wireless sensor networksPredictive ModelWirelessEnergy sourcebusinessWireless sensor networkWireless Sensor NetworkEnergy (signal processing)Predictive modellingEnergy Saving.Computer network2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
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Wireless strain gauge network — Best-hall measurement case

2014

Wireless sensor networks can be used to perform structural monitoring. Strain gauges, which can be glued on or integrated to the observed material, are the most common nondestructive sensing elements for measuring surface strain. Wireless strain gauge measurement system makes strain measurements more flexible while opening new targets of application in addition to those that traditional wired strain measuring systems can offer. We have implemented a long term strain measurement in a PVC-covered hall using wireless sensor network. In this paper we evaluate the functionality and suitability of the developed wireless system for this kind of monitoring. The paper discusses the experiences gaine…

Computer sciencebusiness.industryReliability (computer networking)System of measurementCalibrationElectronic engineeringWirelessEnergy consumptionbusinessTelecommunicationsTemperature measurementWireless sensor networkStrain gauge2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
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