bullet Sensors & Transducers Journal

    (ISSN: 2306-8515, e-ISSN 1726-5479)

0.987

2015 Global Impact Factor

205.767

2008 e-Impact Factor

25 Top Downloaded Articles

Best Selling Articles 2012

Journal Subscription

Editorial Calendar

Submit an Article

Editorial Board

Current Issue

Sensors & Transducers journal's cover

Sensors & Transducers Journal 2011

Sensors & Transducers Journal 2010

Sensors & Transducers Journal 2009

Sensors & Transducers Journal 2008

Sensors & Transducers Journal 2007

2000-2002 S&T e-Digest Contents

2003 S&T e-Digest Contents

2004 S&T e-Digest Contents

2005 S&T e-Digest Contents

2006 S&T e-Digest Contents

 

Best Articles 2011

 

 

 

Vol. 199, Issue 4, April 2016, pp. 42-51

 

Bullet

 

The Role of Human Relations and Interactions in Designing Memory-Related Models
for Sensor Networks
 

1 Basim MAHMOOD and 2 Ronaldo MENEZES

1 University of Mosul, Iraq
2 Florida Institute of Technology, Melbourne, 32901, USA

E-mail: bmahmood@uomosul.edu.iq, rmenezes@cs.fit.edu

 

Received: 28 February 2016 /Accepted: 5 April 2016 /Published: 30 April 2016

Digital Sensors and Sensor Sysstems

 

Abstract: Recently, the use of Wireless Sensor Networks has become substantial in most of our life aspects. These networks have many issues and challenges at the design phase (e.g., memory and power consumption). There exists a huge amount of works and studies that offer and provide solutions for many of these challenges. However, the issues of predicting memory requirements and memory management have not received enough attention in sensor networks literature. Yet, most of the studies in this field focus on issues related to power consumption and connectivity of sensor nodes. This paper has two main purposes: first, we propose a metric for measuring the strength of a relation between two sensors. In the proposed metric, we involve three important characteristics of human relations and interactions: encounter frequencies, duration of encounters, and regularities of encounters. We then exploit this metric in predicting memory requirements in a sensor network. Second, based on the estimated memory size, we propose an approach for memory management in a sensor network. The proposed approach is based on two concepts: social capital in sociology and preferential return in human mobility. The results show that our approach is effective in managing sensor memories comparing to other approaches in the literature.

 

Keywords: Wireless sensor networks, Social networks, Memory requirements, Mobility models, Social ties.

 

Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format

 

 

Subscribe the full-page Sensors & Transducers journal in print (paper) or pdf formats

(shipping cost by standard mail for paper version is included)

(25 % discount for IFSA Members)

 

 

 

Alternatively we accept a money transfer to our bank account. Please contact for details: sales@sensorsportal.com

 

 

Download <here> the Library Journal Recommendation Form

 

 

Read more about Wireless Sensor Networks

 

 

 

 

 


1999 - 2016 Copyright , International Frequency Sensor Association (IFSA) Publishing, S.L. All Rights Reserved.


Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn