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This study investigates the opportunities for transmission power control (TPC) protocols in resource constrained wireless sensor networks (WSNs). The paper begins by creating a generalised model to describe the relationship between transmission power, communication reliability and energy consumption. Applying this model to the performance of state-of-the-art radio hardware, the maximum potential energy...
With the rapid development of economy and the increase of cars, the car theft deterrent is more and more of concern. The localization technique is important in car theft deterrent. In order to obtain more accurate information through the wireless sensor network, the correct node location is particularly important. However, due to the large-scale, self-organizing and dynamic nature of wireless sensor...
In this paper, we present a systematic analysis on the energy consumption of specific implementation of a WSN for rural areas. The implementation uses extremely low cost commercially available devices and transceivers operating in the 240 to 930 MHz thus covering the main sub-mega Hz ISM bands. The main objective of our analysis is the minimization of the energy consumption for a fairly generic type...
The wireless sensor network node positioning is critical and has a broad prospect in military and civilian fields. The current localization algorithm is mainly divided into two types, namely localization algorithm based on distance and distance irrelevant localization algorithm. The two types of algorithms have their own advantages and disadvantages. Consider the advantages and disadvantages of the...
Trickle algorithm, a transmission scheduling algorithm developed for wireless sensor networks (WSNs), is now widely used in low power and lossy networks. IPV6 Routing Protocol for Low Power and Lossy Networks (RPL) and Multicast Protocol for Low Power and Lossy networks (MPL) have employed Trickle algorithm as a basic mechanism for message dissemination. Trickle algorithm adopts a “polite gossip”...
This paper addresses the signal-strength-of-arrival (SSOA) based localization problem with unknown transmit power, which is of vital importance for the rescue system in ruins scenarios. First, a semidefinite programming method is proposed to transform the nonconvex and nonlinear problem into a convex optimization problem, which presents an excellent performance even in the high interference situations...
With the anticipated increase in the number of low power base stations (BSs) deployed in small cell networks, blockage effects becoming more sensitive on wireless transmissions over high spectrums, variable propagation fading scenarios make it hard to describe coverage of small cell networks. In this paper, we propose a dual-directional path loss model cooperating with Line-of-Sight (LoS) and Non-Line-of-Sight...
For complex environment in the mine, a wireless sensor node location mechanism based on a combination of RSSI ranging and genetic simulated annealing algorithm is proposed. Wireless signal transmission loss model in the mine was researched and used for RSSI ranging. Location problem is as an optimization problem to locate by improved genetic simulated annealing algorithm. Simulation results show that...
This paper develops, a channel model forpropagation in Wireless Underground Sensor Network (WUSN) under three different communication scenarios viz: UG-UG, UG-AG and AG-UG, using Mineralogy Based Spectroscopic Dielectric Model (MBSDM). This is preferred over the Peplinski Soil Dielectric model for calculating the values of Complex Dielectric Constant (CDC) for a given soil type based on various parameters...
This paper presents a model for predicting radio frequency (RF) propagation for Wireless Sensor Network (WSN) deployment in a dense tree environment. To create the model, data from a physical deployment are collected and an empirical path loss prediction model is derived from the actual measurements. Furthermore, the presented measurements and empirical path loss model are compared with measurements...
An Internet of Things (IoT) application that employs wireless transmission data such as Wireless Sensor Node need to be designed well enough, So its data doesn't loss in its transmission between the node. Therefore to build an IoT application such as Wireless Sensor Node path loss propagation model is a must. In this paper, we proposed a new path loss model to be used on a near ground 2.4 GHz Wireless...
In this paper we present the results and the assessment of a statistical analysis of the wireless sensor networks (WSN) radio channel in indoor office scenarios. The work is based on an extensive set of received signal strength (RSS) measurements collected within different typical indoor spaces and node placement scenarios. Results are compared with corresponding values from the log-distance model,...
Underwater Wireless Sensor Networks (UWSNs) find a wide variety of applications like underwater monitoring & exploration, tsunami and other storm detection, oil field monitoring, oceanographic data collection etc. All these applications need the observation of the various ocean characteristics. The paper includes the performance analysis of different characteristics of underwater acoustic communication...
Transmission Control Protocol (TCP) has long been used host-to-host over the internet in order to provide reliable and ordered exchange of data. A core component of the protocol is congestion control. Traditional forms of TCP congestion control such as New Reno have been shown to perform poorly over wireless links as a result of non-congestive losses induced by variations in the wireless channel....
Extending input/output (I/O) bus networks over wireless Ethernet is expected to provide an effective way of achieving communication between multiple hosts and I/O devices. However, because connections on wireless Ethernet are lossy and unreliable, retransmission of I/O packets increases transmission latency that exceeds the limits of the I/O bus protocol. In this paper, we propose an Ethernet transport...
The diffusion of indoor wireless localization has grown rapidly in last years. Many indoor location-based services have been proposed thanks to the knowledge of real-time position of active targets (i.e., using mobile wireless devices like smartphones and tablets). Most of the localization approaches rely on the processing of radio-frequency signals transmitted among the wireless access points of...
Physical conversion sensor networks (PhyC-SN) achieve simultaneous data collection in wireless sensor networks. Although the PhyC-SN can recognize the median and the outliers of all the sensing data simultaneously, their separation into each sensor data is a difficult task. To address this task, we have proposed a data separation method that utilizes multi-target tracking with use of the sensing data...
Application-oriented underwater wireless sensor networks (UWSNs) are planned to design in such a way that they can monitor and transfer information efficiently. Therefore, quality data routing schemes are required to achieve certain goals. Many routing protocols are designed for application oriented networks. These types of networks require deployment strategies with quality data routing. Application...
Radio coverage is helpful in estimation of Radio connectivity. Coverage problem is the main issue in the Wireless Sensor Networks. Hence the path loss model is used for the calculation of signal strength of each node to the base station. The values obtained for the path loss are used to plot a Cartesian graph with the base station as the origin and plotting other nodes as per their co-ordinate locations...
As the technology progressing, WSN (Wireless sensor network) become a suitable choice for data gathering and monitoring applications. Power consumption is an important consideration for the design of sensor network. As the WSN is powered by small batteries and deployed in remote location where it is not possible to charge and change these batteries, so it is very important to reduce the energy consumption,...
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