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Node localization has long been established as a key problem in the sensor networks. Self-mapping in wireless sensor network which enables beacon-based systems to build a node map on-the-fly extends the range of the sensor network's applications. A variety of self-mapping algorithms have been developed for the sensor networks. Some algorithms assume no information and estimate only the relative location...
In this paper we present a simple methodology that utilizes the timing-bins in a globally synchronized wireless sensor network to broadcast event information throughout the network. The proposed scheme enables classification as well as per node localization of an event by using bins as hop-counts. A simple implementation of immediate neighborhood validation is also proposed to prevent false-trigger...
Currently, in Wireless Sensor Networks (WSNs), the main idea in most localization algorithms has been that a mobile anchor node, e.g., GPS-equipped (Global Positioning System) nodes, broadcasts its coordinates to locate unknown nodes. In this case, a basic problem is the path planning of the mobile anchor node which should move along the trajectory to minimize the localization error and locate the...
For large-scale sensor networks deployed for data gathering, energy efficiency is critically required. Elimination the data correlation is a promising technique for energy efficiency. Compressive Data Gathering (CDG) which employs distributed coding to compress data correlation is an important approach in this area. However, the CDG scheme uses a uniform pattern in data transmission, where all nodes...
Wireless Sensor Networks (WSNs) have proliferated significantly in recent years. Nowadays they are used in many fields, such as military, environmental and industrial. Reliability and low latency are desirable characteristics of many WSN applications. In particular, time-critical WSN applications must be able to act according to the observed changes in the environment as quickly as possible, assuring...
Location information of nodes is the basis for many applications in wireless sensor networks (WSNs). However, most previous localization methods make the unrealistic assumption: (i) all nodes in WSN are always awake and (ii) the radio range of nodes is an ideal circle. This overlooks the common scenario that sensor nodes are duty-cycled to save energy and the radio range of nodes is irregular. In...
As a special type of wireless P2P systems, sensor networks are often deployed for detecting events caused by disasters. The peer-to-peer mode of the sensor system itself gets challenged either directly by damages of the disaster or by unreliable wireless links. This work explores possible failure models and compares the performance of several gossip protocols corresponding to the failures models....
A Wireless Sensor Network (WSN) is a network which comprised of multiple low cost sensor nodes. In WSN, each sensor is deployed in a different location for a specific purpose. Due to unstable conditions, sensors are unable to perform an anticipated result. At this stage, we totally loose our security and it shows inaccuracy result. So we concentrate on the mutual trust between the source-to-sink and...
The low rank feature of location estimation in Wireless Sensor Networks (WSNs) makes it feasible to use nuclear norm minimization as an accurate and fast solution for low-dimensional embedding problems. In this paper, a novel localization algorithm for WSNs is proposed by using nuclear norm for rank minimization. We formulate the location finding problem from only a small fraction of random entries...
Many ad hoc network applications rely on nodes having accurate knowledge of their geographic locations. However, inherent in all localization systems is a degree of error in computed positions, which can compromise the accuracy and efficiency of location dependent applications and protocols. We propose a method in which nodes estimate the amount of error present in their derived positions with a certain...
Wireless sensor networks (WSNs) have significant potential in many application domains such as agriculture, health, environmental monitoring, battlefield surveillance, and wild fire detection. They, however cannot be used in large geographical areas due to the short communication range of sensors.. In addition, sensor networks have been the lack of available network management and control tools, such...
Monitoring the health of a sensor network is important for maintaining the health and normal operation of the network. For large-scale cost- effective monitoring, using inexpensive motes as sniffers is an attractive choice. In this paper, we quantify the capability and fidelity of mote-class sniffers for sensor network monitoring. In particular, we experimentally quantify the sustainable workload...
Existing time synchronization algorithms and protocols mostly focus on improving the synchronization accuracy. However, they usually require frequent resynchronization to keep designed precision in actual applications, which leads to high energy consumption and heavy traffic load. This paper presents a Prediction based Long-cycle Time Synchronization algorithm (PLTS), which puts emphasis on reducing...
Efficient sensor localizations are techniques for efficiently identifying sensors' positions for different Wireless Sensor Networks (WSNs) applications (e.g., environmental monitoring). Most existing localization techniques are designed for low scale sensor networks. Moreover, existing localization approaches are mostly range based that use some powerful nodes equipped with expensive GPS and/or extra...
Abstract-In a sybil attack, the adversary compromises nodes in the network and assigns them multiple fake identities, commonly referred to as sybil identities. Sybil node attacks can be crippling for a wireless sensor network, which operates under the 'majority is right' assumption. As the sybil nodes behave as normal nodes they are hard to identify. With the nodes in the network being able to regulate...
Time synchronization is a critical service for distributed networks. In this paper, we investigate this problem in underwater sensor networks (UWSNs). We propose a novel time synchronization scheme, called ``Mobi-Sync''. Mobi-Sync effectively utilizes the spatial correlation of underwater mobile sensor nodes to estimate the long and dynamic propagation delays. Simulation results show that Mobi-Sync...
In this paper, we present a method for automatic, online detection of a user's interaction with objects. This represents an essential building block for improving the performance of distributed activity recognition systems. Our method is based on correlating features extracted from motion sensors worn by the user and attached to objects. We present a complete implementation of the idea, using miniaturized...
RSS-based localization is considered a low-complexity algorithm with respect to other range techniques such as TOA or AOA. The accuracy of RSS methods depends on the suitability of the propagation models used for the actual propagation conditions. In indoor environments, in particular, it is very difficult to obtain a good propagation model. For that reason, we present a cooperative location algorithm...
Lately, there has been significant progress in the field of wireless communications and networking. Furthermore, the number of applications that require context information as the user's location will increase in the coming years. However, this issue still has not been solved indoors due to the RF (Radio Frequency) signals' behaviour in this kind of scenarios. In this paper, we present a robust, easy...
With the rapid development of economy, private cars grow at an exponential rate and cities become more and more crowded. The speed of expanding urban area and increased urban road significantly lags behind the economic development. So the introduction of advanced Intelligent Transportation Systems (ITS) may be a well solution, which can solve the urban transport problems fundamentally. As the emergence...
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