A Data Gathering Method Considering Volume of Transmission Range for Fish Farm Monitoring

2016 ◽  
Author(s):  
Koichi Ishida ◽  
Yoshiaki Taniguchi ◽  
Nobukazu Iguchi
Keyword(s):  
Data Gathering ◽  
Fish Farm ◽  
Transmission Range

Neighborhood Overlap-based Stable Data Gathering Trees for Mobile Sensor Networks

2016 ◽  
Vol 5 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Natarajan Meghanathan
Keyword(s):  
Energy Efficient ◽  
Short Distance ◽  
Data Gathering ◽  
Mobile Sensor Networks ◽  
Transmission Range ◽  
Mobile Sensor ◽  
Graph Theoretic ◽  
Expiration Time ◽  
Link Expiration Time ◽  
The Stability

The hypothesis in this research is that the end nodes of a short distance link (the distance between the end nodes is significantly smaller than the transmission range per node) in a mobile sensor network (MSN) are more likely to share a significant fraction of their neighbors and such links are more likely to be stable. The author proposes to use Neighborhood Overlap (NOVER), a graph-theoretic metric used in complex network analysis, to effectively quantify the extent of shared neighborhood between the end nodes of a link and thereby the stability of the link. The author's claim is that links with larger NOVER score are more likely to be stable and could be preferred for inclusion while determining stable data gathering trees for MSNs. Through extensive simulations, the author shows that the NOVER-based DG trees are significantly more stable and energy-efficient compared to the DG trees determined using the predicted link expiration time (LET). Unlike the LET approach (currently the best known strategy), the NOVER-based approach could be applied without knowledge about the location and mobility of the nodes.

scholarly journals A Method for Gathering Sensor Data for Fish-Farm Monitoring Considering the Transmission-Range Volume

2018 ◽  
Vol E101.D (3) ◽  
pp. 808-811 ◽  
Author(s):  
Koichi ISHIDA ◽  
Yoshiaki TANIGUCHI ◽  
Nobukazu IGUCHI
Keyword(s):  
Fish Farm ◽  
Sensor Data ◽  
Transmission Range

scholarly journals A Routing Method for Fish Farm Monitoring Under Short Transmission Range Condition

2018 ◽  
Vol E101.D (8) ◽  
pp. 2145-2149 ◽  
Author(s):  
Koichi ISHIDA ◽  
Yoshiaki TANIGUCHI ◽  
Nobukazu IGUCHI
Keyword(s):  
Fish Farm ◽  
Transmission Range ◽  
Range Condition ◽  
Routing Method

GATHERING WITH MINIMUM COMPLETION TIME IN SENSOR TREE NETWORKS

2010 ◽  
Vol 11 (01n02) ◽  
pp. 1-33 ◽  
Author(s):  
JEAN–CLAUDE BERMOND ◽  
LUISA GARGANO ◽  
ADELE A. RESCIGNO
Keyword(s):  
Data Gathering ◽  
Base Station ◽  
Sensor Nodes ◽  
Transmission Range ◽  
Intermediate Node ◽  
Tree Networks ◽  
Data Packets ◽  
Half Duplex ◽  
Interference Range ◽  
Minimum Completion Time

Data gathering is a fundamental operation in wireless sensor networks in which data packets generated at sensor nodes are to be collected at a base station. In this paper we suppose that each sensor is equipped with an half–duplex interface; hence, a node cannot receive and transmit at the same time. Moreover, each node is equipped with omnidirectional antennas allowing the transmission over distance R. The network is a multi-hop wireless network and the time is slotted so that one–hop transmission of one data item consumes one time slot. We model the network with a graph where the vertices represent the nodes and two nodes are connected if they are in the transmission range of each other. We suppose that the interference range is the same as the transmission range; therefore due to interferences a collision happens at a node if two or more of its neighbors try to transmit at the same time. Furthermore we suppose that an intermediate node should forward a message as soon as it receives it. We give an optimal collision free gathering schedule for tree networks whenever each node has exactly.

Overcoming Challenges of International Migration Research: A Case Study Approach in Southern Mexico

2016 ◽  
Vol 13 (1) ◽  
pp. 131-143
Author(s):  
Julie Boyles
Keyword(s):  
International Migration ◽  
Common Ground ◽  
Data Gathering ◽  
Ethnographic Case Study ◽  
Case Study Approach ◽  
Southern Mexico ◽  
Mixed Methods Approach ◽  
Study Approach ◽  
Migration Research

An ethnographic case study approach to understanding women’s actions and reactions to husbands’ emigration—or potential emigration—offers a distinct set of challenges to a U.S.-based researcher.  International migration research in a foreign context likely offers challenges in language, culture, lifestyle, as well as potential gender norm impediments. A mixed methods approach contributed to successfully overcoming barriers through an array of research methods, strategies, and tactics, as well as practicing flexibility in data gathering methods. Even this researcher’s influence on the research was minimized and alleviated, to a degree, through ascertaining common ground with many of the women. Research with the women of San Juan Guelavía, Oaxaca, Mexico offered numerous and constant challenges, each overcome with ensuing rewards.

Sources and uses of information on a West Coast dairy farm

2002 ◽  
pp. 31-32
Author(s):  
C. Van der Geest
Keyword(s):  
Milk Production ◽  
Time Pressure ◽  
Data Gathering ◽  
Technical Information ◽  
Dairy Farm ◽  
Farming System ◽  
Herd Size ◽  
Financial Benefit ◽  
Nitrogen Response ◽  
Directional Information

I am a 30-year-old sharemilker on my parent's 600 cow developing farm near Blackball on the western side of the Grey Valley. Earlier this year I competed in the National Young Farmer of the Year competition and finished a close third. So what is information? There are two types of information that I use. There is data gathered from my farm to help fine tune the running of the day to day operations on the farm And directional information This is the information that arrives in papers and directs the long-term direction and plans of the farm and farming businesses. Due to the variability in weather on the Coast there is a greater need to monitor and adjust the farming system compared to an area like Canterbury. This was shown last year (2001/02) when the farm was undergoing a rapid period of development and I was under time restraints from increasing the herd size, building a new shed as well as developing the farm. The results of the time pressure was that day to day information gathering was lower resulting in per cow production falling by 11% or around $182 per cow. So what information was lacking that caused this large drop in profit. • Pasture growth rates • Cow condition • Nitrogen requirements • Paddock performance • Milk production • Pre-mating heat detection As scientists and advisers I hear you say that it is the farmer's responsibility to gather and analyse this information. You have the bigger topics to research and discover, gene marking, improving pasture species, sexing of sperm and ideas that I have not even contemplated yet. This is indeed very valuable research. Where would farming be without the invention of electric fences, artificial breeding and nitrogen research? But my problem is to take a farm with below average production to the top 10% in production with the existing technology and farming principles. I have all the technical information I need at the end of a phone. I can and do ring my consultant, fertiliser rep, vet, neighbour and due to the size and openness of New Zealand science, at present if they do not know I can ring an expert in agronomy, nutrition, soils and receive the answer that I require. I hope that this openness remains as in a time of privatisation and cost cutting it is a true advantage. I feel that for myself the next leap in information is not in the growing of grass or production of milk but in the tools to collect, store and utilise that information. This being tied to a financial benefit to the farming business is the real reason that I farm. Think of the benefits of being able to read pasture cover on a motorbike instantly downloaded, overlaying cow intake with milk production, changes in cow weight, daily soil temperature and predicted nitrogen response. Telling me low producing cows and poor producing paddocks, any potential feed deficits or surpluses. This would be a powerful information tool to use. The majority of this information is already available but until the restraints of time and cost are removed from data gathering and storage, this will not happen.

Scalable data gathering systems and their implementation onboard flying space stations

1998 ◽  
Vol 4 (4) ◽  
pp. 61-66
Author(s):  
I.I. Kravets ◽  
◽  
Yu.V. Opotiak ◽  
Keyword(s):  
Data Gathering
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