Browsing by Keywords "Sensor networks"
Now showing items 1-20 of 22
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Accelerating the HyperLogLog cardinality estimation algorithm
(Hindawi Limited, 2017)In recent years, vast amounts of data of different kinds, from pictures and videos from our cameras to software logs from sensor networks and Internet routers operating day and night, are being generated. This has led to ... -
Adaptive decision fusion based cooperative spectrum sensing for cognitive radio systems
(IEEE, 2011)In this paper, an online Adaptive Decision Fusion (ADF) framework is proposed for the central spectrum awareness engine of a spectrum sensor network in Cognitive Radio (CR) systems. Online learning approaches are powerful ... -
Autonomous multiple teams establishment for mobile sensor networks by SVMs within a potential field
(2012)In this work, a new method and algorithm for autonomous teams establishment with mobile sensor network units by SVMs based on task allocations within a potential field is proposed. The sensor network deployed into the ... -
Autonomous navigation of robotic units in mobile sensor network
(2012)This work is motivated by the problem of detecting buried anti-tank and anti-personnel mines in roads or some border regions. The problem is tried to be solved by use of small mobile robotic sensors and their some abilities ... -
Balancing energy loads in wireless sensor networks through uniformly quantized energy levels-based clustering
(IEEE, 2010)Clustering is considered a common and an effective method to prolong the lifetime of a wireless sensor network. This paper provides a new insight into the cluster formation process based on uniformly quantizing the residual ... -
Bluetooth or 802.15.4 technologies to optimise lifetime of wireless sensor networks: Numerical comparison under a common framework
(IEEE, 2008-04)This paper aims at comparing through simulations the network lifetime of a wireless sensor network using Bluetooth-enabled or IEEE802.15.4 compliant devices. The evaluation is performed under a common reference framework, ... -
Centralized and decentralized detection with cost-constrained measurements
(Elsevier B.V., 2017)Optimal detection performance of centralized and decentralized detection systems is investigated in the presence of cost constrained measurements. For the evaluation of detection performance, Bayesian, Neyman–Pearson and ... -
Centralized and decentralized detection with cost-constrained measurements
(Bilkent University, 2016-05)In this thesis, optimal detection performance of centralized and decentralized detection systems is investigated in the presence of cost constrained measurements. For the evaluation of detection performance, Bayesian, ... -
Computing localized power-efficient data aggregation trees for sensor networks
(Institute of Electrical and Electronics Engineers, 2011)We propose localized, self organizing, robust, and energy-efficient data aggregation tree approaches for sensor networks, which we call Localized Power-Efficient Data Aggregation Protocols (L-PEDAPs). They are based on ... -
A distributed and dynamic data gathering protocol for sensor networks
(IEEE, 2007-05)In this paper we propose a distributed, self organizing, robust and energy efficient data gathering algorithm for sensor networks operating in environments where all the sensor nodes are not in direct communication range ... -
Distributed and location-based multicast routing algorithms for wireless sensor networks
(SpringerOpen, 2009-01)Multicast routing protocols in wireless sensor networks are required for sending the same message to multiple different destinations. In this paper, we propose two different distributed algorithms for multicast routing in ... -
A distributed positioning algorithm for cooperative active and passive sensors
(IEEE, 2010)The problem of positioning a target node is studied for wireless sensor networks with cooperative active and passive sensors. Two-way time-of-arrival and time-difference-of-arrival measurements made by both active and ... -
EHPBS: Energy harvesting prediction based scheduling in wireless sensor networks
(IEEE, 2013)The clustering algorithms designed for traditional sensor networks have been adapted for energy harvesting sensor networks (EHWSN). However, in these algorithms, the intra-cluster MAC protocols to be used were either not ... -
An energy efficient scatternet formation algorithm for Bluetooth-based sensor networks
(IEEE, 2005-02)In this paper, we propose an energy-efficient scatternet formation algorithm for Bluetooth based sensor networks. The algorithm is based on first computing a shortest path tree from the base station to all sensor nodes and ... -
Irregular repetition slotted ALOHA with energy harvesting nodes
(Bilkent University, 2017-07)The importance of wireless networking schemes originating from ALOHA has rapidly risen with the wide-spread use of Internet, advancements in the communications systems and increasing number of wireless devices. ... -
Multiperson tracking with a network of ultrawideband radar sensors based on gaussian mixture PHD filters
(Institute of Electrical and Electronics Engineers Inc., 2015)In this paper, we investigate the use of Gaussian mixture probability hypothesis density filters for multiple person tracking using ultrawideband (UWB) radar sensors in an indoor environment. An experimental setup consisting ... -
PSAR: Power-source-aware routing in ZigBee networks
(2012)ZigBee is a recent wireless networking technology built on IEEE 802.15.4 standard and designed especially for low-data rate and low-duty cycle applications such as home and building automation and sensor networks. One of ... -
Rule-based in-network processing in wireless sensor networks
(IEEE, 2009-07)Wireless sensor networks are application-specific networks, and usually a new network design is required for a new application. In event-driven wireless sensor network applications, the sink node of the network is generally ... -
A run-time verification framework for smart grid applications implemented on simulation frameworks
(IEEE, 2013-05)Smart grid applications are implemented and tested with simulation frameworks as the developers usually do not have access to large sensor networks to be used as a test bed. The developers are forced to map the implementation ... -
Target classification with simple infrared sensors using artificial neural networks
(IEEE, 2008-10)This study investigates the use of low-cost infrared (IR) sensors for the determination of geometry and surface properties of commonly encountered features or targets in indoor environments, such as planes, corners, edges, ...
