scholarly journals A Novel Grid-Based Data Broadcasting Scheme for Wireless Sensor Networks

2020 ◽  
Author(s):  
Arpit Bhushan Sharma ◽  
Harshit Kargeti
Keyword(s):  
Data Dissemination ◽  
Data Broadcasting ◽  
Living Space ◽  
War Zone ◽  
Remote Sensor ◽  
Sensor Field ◽  
Other Information ◽  
Information Dispersal ◽  
Information Scattering ◽  
Grid Based

A run-of-the-mill remote sensor arrange comprises numerous vitality compelled sensor hubs that are arbitrarily sent is the sensor field. Vitality is one of the most significant parts of planning an information dispersal convention for applications, for example, war zone checking, living space observing, and so on. We present EGDD, an Energy-effective Grid-based Data Dissemination plot for arbitrarily conveyed remote sensor systems. The proposed conspire is vitality effective for dealing with both sink and source portability. EGDD depends on a virtual framework-based foundation for information scattering from various versatile sources to different portable sinks. The virtual lattice of square size is built by the main source showing up in the sensor field dependent on the remaining vitality of the sensor hubs. Moreover, we proposed an askew sending calculation for inquiry and information sending which guarantees that just a single spread hub advances the question and information at once. In EGDD, substitute scattering hubs are chosen ahead of time during the lattice development procedure and the least limit vitality level is characterized for spread hubs. When the vitality of a dispersal hub arrives at the base edge esteem, it is supplanted by another spread hub. The reenactment results show that the proposed EGDD conspire is more vitality proficient when contrasted with other information scattering conventions.

QDVGDD: Query-Driven Virtual Grid based Data Dissemination for wireless sensor networks using single mobile sink

2017 ◽  
Vol 25 (1) ◽  
pp. 241-253 ◽  
Author(s):  
Abdul Waheed Khan ◽  
Javed Iqbal Bangash ◽  
Adnan Ahmed ◽  
Abdul Hanan Abdullah
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Dissemination ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Virtual Grid ◽  
Grid Based

Data Dissemination in Mobile Databases

2011 ◽  
pp. 914-920
Author(s):  
Agustinus Borgy Waluyo ◽  
Bala Srinivasan ◽  
David Taniar
Keyword(s):  
Response Time ◽  
Mobile Computing ◽  
Data Dissemination ◽  
Wireless Channel ◽  
Data Broadcasting ◽  
Wireless Technology ◽  
Mobile Databases ◽  
Tuning Time ◽  
Query Performance ◽  
Download Time

The development of wireless technology has led to mobile computing, a new era in data communication and processing (Barbara, 1999; Myers & Beigl, 2003). With this technology, people can now access information anytime and anywhere using a portable, wireless computer powered by battery (e.g., PDAs). These portable computers communicate with a central stationary server via a wireless channel. Mobile computing provides database applications with useful aspects of wireless technology known as mobile databases. The main properties of mobile computing include mobility, severe power and storage restriction, frequency of disconnection that is much greater than a traditional network, bandwidth capacity, and asymmetric communications costs. Radio wireless transmission usually requires a greater amount of power as compared with the reception operation (Xu, Zheng, Zhu, & Lee, 2002). Moreover, the life expectancy of a battery (e.g., nickel-cadmium, lithium ion) was estimated to increase time of effective use by only another 15% (Paulson, 2003). Thus, efficient use of energy is definitely one of the main issues. Data dissemination (can also be called data broadcasting) is one way to overcome these limitations. With this mechanism, a mobile client is able to retrieve information without wasting power to transmit a request to the server. Other characteristics of data dissemination include: scalability as it supports a large number of queries; query performance which is not affected by the number of users in a cell as well as the request rate; and effective to a high-degree of overlap in the user’s request. In this article, the terms data dissemination and data broadcasting are used interchangeably. The ultimate challenge in data dissemination is to minimize the response time and tuning time of retrieving database items. Response time is the total of elapsed time required for the data of interest to arrive in the channel and the download time, while tuning time is the amount of time that a client is required to listen to the channel, which is used to indicate its energy consumption. In some cases, the response time is equal to the tuning time. This article describes a state-of-the art development in data dissemination strategies in mobile databases. Several strategies for improving the query performance by disseminating data to a population of mobile users will be explained.

scholarly journals Bridge Device for Mounting and Local Adjustment of Wireless Sensor Network

2018 ◽  
Vol 3 (4) ◽  
pp. 16
Author(s):  
Stiliyan Yordanov Georgiev ◽  
Hristo Gospodinov Kolev ◽  
Petko Alexandrov Todorov
Keyword(s):  
Communication Channel ◽  
Sensor System ◽  
Wireless Sensor ◽  
Input Output ◽  
Radio Communication ◽  
Specific Data ◽  
Output Terminal ◽  
Field System ◽  
Remote Sensor ◽  
Sensor Field

The remote sensor networks are used for collecting area-specific data and retransmit them through radio for further processing. For proper mounting and initial functional test of sensors as part of a larger sensor field system is comfortably to use portable bridge devise for mounting and local adjustment of sensor system. The devise translates the sensor system radio communication channel to the widely used Bluetooth standard. Such way any available smart devise can be used as input-output terminal for communication and adjustment of sensors part of the sensor system. The created radio bridge device is compact, functional, cheap and a useful addition to any LoRa sensor system.

scholarly journals Estimation and Improvements of the Fundamental QoS in Networks with Random Topologies

2013 ◽  
Vol 2 (1) ◽  
pp. 8-15
Author(s):  
Zhilbert Tafa
Keyword(s):  
Traffic Congestion ◽  
Data Dissemination ◽  
Physical World ◽  
Human Interaction ◽  
Random Geometric Graphs ◽  
Habitat Monitoring ◽  
Earthquake Detection ◽  
Communication Paradigm ◽  
Other Information ◽  
Network Functionality

The computer communication paradigm is moving towards the ubiquitous computing and Internet of Things (IoT). Small autonomous wirelessly networked devices are becoming more and more present in monitoring and automation of every human interaction with the environment, as well as in collecting various other information from the physical world. Applications, such as remote health monitoring, intelligent homes, early fire, volcano, and earthquake detection, traffic congestion prevention etc., are already present and all share the similar networking philosophy. An additional challenging for the scientific and engineering world is the appropriateness of the alike networks which are to be deployed in the inaccessible regions. These scenarios are typical in environmental and habitat monitoring and in military surveillance. Due to the environmental conditions, these networks can often only be deployed in some quasi-random way. This makes the application design challenging in the sense of coverage, connectivity, network lifetime and data dissemination. For the densely deployed networks, the random geometric graphs are often used to model the networking topology. This paper surveys some of the most important approaches and possibilities in modeling and improvement of coverage and connectivity in randomly deployed networks, with an accent on using the mobility in improving the network functionality.

scholarly journals VGDD: A Virtual Grid Based Data Dissemination Scheme for Wireless Sensor Networks with Mobile Sink

2015 ◽  
Vol 11 (2) ◽  
pp. 890348 ◽  
Author(s):  
Abdul Waheed Khan ◽  
Abdul Hanan Abdullah ◽  
Mohammad Abdur Razzaque ◽  
Javed Iqbal Bangash ◽  
Ayman Altameem
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Dissemination ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Virtual Grid ◽  
Grid Based

scholarly journals Multimedia Video Streaming using Advanced Compression and Bandwidth Efficient Technique

2019 ◽  
Vol 8 (4) ◽  
pp. 10919-10922
Keyword(s):  
Data Transmission ◽  
Interactive Media ◽  
Video Data ◽  
Destination Node ◽  
Sensor Systems ◽  
Bandwidth Utilization ◽  
Compression Technique ◽  
Living Space ◽  
Remote Sensor ◽  
Efficient Data

Multimedia is a modern way of communication where lots of images and videos are been transmitted over the wireless sensor network, hence managing the transmission of these records plays an important role when it comes to speed in which the multimedia transferred. In this paper compression technique and bandwidth utilization method is used for the efficient data transmission. Using this one can minimize the bandwidth utilization by compressing the video to the best format where packet won’t be lost and complete packet will be transferred to the destination node. Remote sensor systems is a developing class of exceptionally powerful, complex system condition over which a wide scope of uses, for example, living space observing, object following, exactness farming, building checking and military frameworks are assembled. [1]The ongoing applications frequently produce earnest information and one-time occasion notices that should be conveyed dependably. The fruitful conveyance of such data directly affects the general execution of the framework. Solid correspondence is significant for sensor systems. In WSN’s for viable transmission of still pictures, sound, and video data implements thorough necessities on the vitality utilization and throughput. [2] It is given in this to examine the presentation of steering traffic for interactive media traffic in WSN for multi jump nodes from the sink.

Sign in / Sign up

Export Citation Format

Share Document