scholarly journals Developing the Reconfiguration Method to Increase Life Expectancy of Dynamic Wireless Sensor Network in Container Terminal

2016 ◽  
Vol 20 (1) ◽  
pp. 15-20 ◽  
Author(s):  
Aleksejs Jurenoks
Keyword(s):  
Container Terminal ◽  
Technical Specification ◽  
Dynamic Network ◽  
Network Connectivity ◽  
Computing System ◽  
Network Routing ◽  
Information Storage ◽  
Sensor Nodes ◽  
Data Traffic ◽  
Energy Balancing

Abstract Nowadays control and management logistics solutions that are used in terminals apply sensor based technologies to identify and localize containers in the yard. Nevertheless, because of the limits in the existing sensor technical specification, the position of nodes is still affected by some errors or sometimes it cannot be determined in real-time systems due to battery fall. The sensor nodes pertaining to information storage and processing are mainly equipped with an uninterrupted power supply, independent distribution network connectivity and low performance computing system. The capacity of data traffic near a coordinator node is much higher than in the distant points; as a result, the existing elements close to processing nodes faster than others stop operating due to a lack of electricity and, as a result, the network ceases its overall work. The article describes the modification of network routing protocols for energy balancing in nodes, using the mobility of the coordinator node, which provides dynamic network reconfiguration possibilities.

Sink Mobility Based and Energy Balancing Routing Protocol

2013 ◽  
Vol 380-384 ◽  
pp. 2177-2182
Author(s):  
Yu Fang Ma ◽  
Yan Li Wang
Keyword(s):  
Routing Protocol ◽  
Routing Protocols ◽  
Network Connectivity ◽  
Premature Death ◽  
Network Routing ◽  
Sensor Nodes ◽  
Monitoring Data ◽  
Sink Node ◽  
Energy Balancing ◽  
Virtual Cells

In the wireless sensor network routing protocol design, the sensor node monitoring data in multi-hop relay approach to sink node for transmission. For sink aggregation node fixed network, the nearby sink nodes of sensor nodes need to transfer other nodes of the monitoring data, consequently, it consumes large amounts of energy, and it's easy to premature death, making the network connectivity decline, even making the network intersected, shorten the lifetime of the network. In order to solve this problem, from the view of sink node, this thesis brings forward a protocol of SERP, which is a energy balancing routing protocol based on sink Mobility and prolongs the lifetime of network. It adopts the strategy of sink movement which makes the hot nodes inside the network take turns, balances the load among them. In SERP, firstly, the WSN deployment area is divided into finite Virtual cells ;Secondly ,we make the center of each virtual cell as the mobile position of sink node; at last, we confirm the residence time when sink node stays in each position through linear programming. Finally, the paper makes simulation al analysis aiming at above-mentioned routing protocols . The result shows that the inside node energy consumption is comparatively balanced and efficient, and the network lifetime is prolonged effectively.

Gamelan Melayu Sound Preservation and Archiving through Recording Methods and Production Techniques

2020 ◽  
Vol 6 ◽  
pp. 17-40
Author(s):  
Muralitheran Munusamy
Keyword(s):  
Sound Production ◽  
Dynamic Range ◽  
Technical Specification ◽  
Traditional Music ◽  
Information Storage ◽  
Social Scientists ◽  
Audio Engineering ◽  
Production Techniques ◽  
Audio Data ◽  
Music Recordings

Sound or audio engineering is a branch of the field of engineering, which involves the process of recording sound and reproducing it by various means, as well as storing in order to be reproduced later. Known as sound or audio engineers, these trained professionals work in a variety of sound production fields and expert in recording methods. They can be instrumental to implement the affordable technologies and technical process to distribute the audio data hence, making it accessible for future generations. The current role of these engineers not only to perform or limited to recording session but they create metadata for archiving and preservation for future needs. Currently, product sleeves of ethnographic recordings represent no technical elements of how traditional music recordings are produced. The product details focus only to some extent on historical elements and musical notation. To an audio archivist, declaring what devices are in a recording is not linked with preservation data. Apart from the format, the sleeved design, technical specification is essential to other social scientists such as audio engineer and field recordist of the future. The aim of the present research is to capture optimum dynamic range of the sound and applying a signal processing that would not alter the tonality, timbre and harmonic of the sound. Further applying a suitable information storage for the metadata to be preserve or archived for future accessing and reproduction.

Network Routing Mechanism Simulation Research Based on VANETs

2014 ◽  
Vol 651-653 ◽  
pp. 1868-1874
Author(s):  
Li Zhu ◽  
Lan Bai
Keyword(s):  
Routing Protocol ◽  
Vehicular Networks ◽  
Routing Algorithm ◽  
Dynamic Network ◽  
Network Routing ◽  
On Demand ◽  
Routing Mechanism ◽  
Demand Routing ◽  
On The Road ◽  
Low Efficiency

VANETs is a rapid developed wireless mobile MANETs network with special challenge nature. It is a distributed and self-organized communication network based on moving vehicle. This network has characteristics like limited bandwidth, strong mobility, strong dynamic network topology, limited node degrees freedom, equipment capacity constraints and weak physical security. These characteristics usually make typical routing protocol in mobile MANET show a low efficiency in mobile VANETs, even fail. MANET routing algorithm is roughly divided into two categories, namely table driven routing protocol and on-demand routing protocol. It is due to the particularity of driving cars on the road. So how to improve network routing protocol in the performance is now a challenging problem. The purpose of this article studies network routing mechanism based on wireless vehicular networks simulation method. On the basis of analyzing the performance of typical routing protocols in MANET, such as DSDV, AODV and DSR, the improved scheme of AODV on-demand routing algorithm is put forward.

scholarly journals Intelligent On-Demand Connectivity Restoration for Wireless Sensor Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Khalid Mahmood ◽  
Muhammad Amir Khan ◽  
Mahmood ul Hassan ◽  
Ansar Munir Shah ◽  
Shahzad Ali ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Connectivity ◽  
Energy Utilization ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
On Demand ◽  
Connectivity Restoration ◽  
Restoration Technique ◽  
Near Future

Wireless sensor networks are envisioned to play a very important role in the Internet of Things in near future and therefore the challenges associated with wireless sensor networks have attracted researchers from all around the globe. A common issue which is well studied is how to restore network connectivity in case of failure of single or multiple nodes. Energy being a scarce resource in sensor networks drives all the proposed solutions to connectivity restoration to be energy efficient. In this paper we introduce an intelligent on-demand connectivity restoration technique for wireless sensor networks to address the connectivity restoration problem, where nodes utilize their transmission range to ensure the connectivity and the replacement of failed nodes with their redundant nodes. The proposed technique helps us to keep track of system topology and can respond to node failures effectively. Thus our system can better handle the issue of node failure by introducing less overhead on sensor node, more efficient energy utilization, better coverage, and connectivity without moving the sensor nodes.

scholarly journals The support of multipath routing in IPv6-based internet of things

2020 ◽  
Vol 10 (2) ◽  
pp. 2208
Author(s):  
Ibrahim S. Alsukayti
Keyword(s):  
Internet Of Things ◽  
Routing Protocol ◽  
Task Force ◽  
Multipath Routing ◽  
Network Routing ◽  
Network Architectures ◽  
Energy Balancing ◽  
Current State ◽  
Research Findings

The development of IPv6-based network architectures for Internet of Things (IoT) systems is a feasible approach to widen the horizon for more effective applications, but remains a challenge. Network routing needs to be effectively addressed in such environments of scarce computational and energy resources. The Internet Engineering Task Force (IETF) specified the IPv6 Routing Protocol for Low Power and Lossy Network (RPL) to provide a basic IPv6-based routing framework for IoT networks. However, the RPL design has the potential of extending its functionality to a further limit and incorporating the support of advanced routing mechanisms. These include multipath routing which has opened the doors for great improvements towards efficient energy balancing, load distribution, and even more. This paper fulfilled a need for an effective review of recent advancements in Internet of Things (IoT) networking. In particular, it presented an effective review and provided a taxonomy of the different multipath routing solutions enhancing the RPL protocol. The aim was to discover its current state and outline the importance of integrating such a mechanism into RPL to revive its potentiality to a wider range of IoT applications. This paper also discussed the latest research findings and provided some insights into plausible follow-up researches.

Progress in the use of drainage network indices for rainfall-runoff modelling and runoff prediction

1994 ◽  
Vol 18 (4) ◽  
pp. 539-557 ◽  
Author(s):  
Geraldene Wharton
Keyword(s):  
Drainage Basin ◽  
Dynamic Network ◽  
Network Routing ◽  
Future Research ◽  
Drainage Network ◽  
Rainfall Runoff ◽  
Widespread Application ◽  
Digital Format ◽  
Drainage Networks ◽  
Runoff Prediction

Traditional catchment-based approaches to runoff prediction suffer from the problem that it is difficult to interpret the collective physical significance of a large number of intercorrelated drainage basin variables. This has highlighted the need for a sensitive and meaningful index to relate the basin character to the discharge produced. Network routing models also require an appropriate descriptor of drainage basin form to relate to hydrologic response characteristics. An index of the drainage network is potentially the most valuable because it responds to precipitation, reflects the characteristics of the basin and affects runoff. Although a large number of drainage network indices have been developed they have proved inadequate in their failure to describe the dynamic nature of drainage networks. Future research into the use of drainage networks for rainfall- runoff modelling and runoff prediction needs to have as its central aim the development of a dynamic network index which has physical meaning for drainage basins of all sizes and which is quick and easy to calculate from data that are rapidly obtainable. Despite the improved resolution of satellite imagery its high cost still prevents the widespread application of satellite remote sensing techniques to monitoring storm-specific drainage network changes. However, the increased availability of topographic data in digital format and the recent developments in digital elevation models (DEMs) have demonstrated the potential for the rapid derivation of both perennial and extended drainage networks from which network expansion potential can be calculated.

scholarly journals The Neural Architecture of General Knowledge

2019 ◽  
Vol 33 (5) ◽  
pp. 589-605 ◽  
Author(s):  
Erhan Genç ◽  
Christoph Fraenz ◽  
Caroline Schlüter ◽  
Patrick Friedrich ◽  
Manuel C. Voelkle ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Fluid Intelligence ◽  
Network Connectivity ◽  
Brain Network ◽  
Information Storage ◽  
General Knowledge ◽  
Resonance Imaging ◽  
Crystallized Intelligence ◽  
Brain Network Connectivity

Cognitive performance varies widely between individuals and is highly influenced by structural and functional properties of the brain. In the past, neuroscientific research was principally concerned with fluid intelligence, while neglecting its equally important counterpart crystallized intelligence. Crystallized intelligence is defined as the depth and breadth of knowledge and skills that are valued by one's culture. The accumulation of crystallized intelligence is guided by information storage capacities and is likely to be reflected in an individual's level of general knowledge. In spite of the significant role general knowledge plays for everyday life, its neural foundation largely remains unknown. In a large sample of 324 healthy individuals, we used standard magnetic resonance imaging along with functional magnetic resonance imaging and diffusion tensor imaging to examine different estimates of brain volume and brain network connectivity and assessed their predictive power with regard to both general knowledge and fluid intelligence. Our results demonstrate that an individual's level of general knowledge is associated with structural brain network connectivity beyond any confounding effects exerted by age or sex. Moreover, we found fluid intelligence to be best predicted by cortex volume in male subjects and functional network connectivity in female subjects. Combined, these findings potentially indicate different neural architectures for information storage and information processing. © 2019 European Association of Personality Psychology

CONSTRAINED RELAY NODE DEPLOYMENT FOR UNDERWATER ACOUSTIC WIRELESS SENSOR NETWORKS

2012 ◽  
Vol 04 (01) ◽  
pp. 1250010 ◽  
Author(s):  
DEYING LI ◽  
ZHENG LI ◽  
WENKAI MA ◽  
WENPING CHEN
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Relay Node ◽  
Network Connectivity ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Relay Nodes ◽  
Underwater Acoustic ◽  
Node Deployment ◽  
Algorithm Framework

An underwater acoustic wireless sensor network (UA-WSN) consists of many resource-constrained underwater sensor nodes (USNs), which are deployed to perform collaborative monitoring tasks over a given region. One way to preserve network connectivity while guaranteeing other network QoS is to deploy some relay nodes (RNs) in the networks. Although RNs' function is more powerful than USNs, but they can lead to more interference and their cost is more expensive. This paper addresses constrained low-interference relay node deployment problem for 3-D UA-WSNs in which the RNs are placed at a subset of candidate locations to ensure connectivity between the USNs such that the number of RNs deployed and the value of total incremental interference are minimized. We first prove that it is NP-hard, then propose a general approximation algorithm framework. Based on the framework, we get two polynomial time O(1)-approximation algorithms.

The Design of WinCE Driver of WSN Nodes Based on ARM

2014 ◽  
Vol 556-562 ◽  
pp. 6058-6062 ◽  
Author(s):  
Jin Wu Ju
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Basic Structure ◽  
Network Routing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Network Node ◽  
Intelligent Sensor ◽  
Hardware Interface

Wireless sensor network (WSN) is the network which is composed of a large number of intelligent sensor nodes, it has the ability of self-organizing network routing, therefore, it has been widely used. Building wireless sensor networks is the key to WSN nodes. This paper introduces the basic structure of wireless sensor network node based on ARM, and it delivers a detailed analysis on the operating features and the CC2480 hardware interface of the ZigBee processor, what’s more, it specifically talks about the implementation of the Wince driver of WSN nodes.

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