A Social-based Strategy for Memory Management in Sensor Networks

Basim Mahmood, Ronaldo Menezes

2016

Abstract

The technological structure of today’s societies enables people to easily exchange and share their information. This structure contains many sophisticated technologies such as mobile wireless devices (e.g., smartphones and tablets). These devices are mainly used for connecting people with each other. As these devices grow in usability, many issues have become apparent such as memory management, security, and power consumption. In this paper, we propose a novel social-based strategy for memory management in mobile sensor networks. This strategy is inspired from two concepts, namely, social capital in sociology and preferential return mechanism in human mobility. The findings show that the proposed strategy is quite effective in keeping up-to-date information in each sensor/device about the sensor connections. We believe that this is the first work that investigates the issue of memory management in this type of networks using concepts form social networks and human mobility.

Paper Citation

in Harvard Style

Mahmood B. and Menezes R. (2016). A Social-based Strategy for Memory Management in Sensor Networks . In Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-169-4, pages 25-34. DOI: 10.5220/0005672600250034

in Bibtex Style

@conference{sensornets16,
author={Basim Mahmood and Ronaldo Menezes},
title={A Social-based Strategy for Memory Management in Sensor Networks},
booktitle={Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,},
year={2016},
pages={25-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005672600250034},
isbn={978-989-758-169-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,
TI - A Social-based Strategy for Memory Management in Sensor Networks
SN - 978-989-758-169-4
AU - Mahmood B.
AU - Menezes R.
PY - 2016
SP - 25
EP - 34
DO - 10.5220/0005672600250034