CFP last date
20 May 2024
Reseach Article

Characterizing the Memory Management for Improving the Performance of Embedded system used in Wireless Sensor Networks

Published on March 2012 by Vivek Deshpande, Vijay Wadhai, J B Helonde
International Conference in Computational Intelligence
Foundation of Computer Science USA
ICCIA - Number 8
March 2012
Authors: Vivek Deshpande, Vijay Wadhai, J B Helonde
6f3aa409-9858-4344-b604-b2c69a7a70ee

Vivek Deshpande, Vijay Wadhai, J B Helonde . Characterizing the Memory Management for Improving the Performance of Embedded system used in Wireless Sensor Networks. International Conference in Computational Intelligence. ICCIA, 8 (March 2012), 31-35.

@article{
author = { Vivek Deshpande, Vijay Wadhai, J B Helonde },
title = { Characterizing the Memory Management for Improving the Performance of Embedded system used in Wireless Sensor Networks },
journal = { International Conference in Computational Intelligence },
issue_date = { March 2012 },
volume = { ICCIA },
number = { 8 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 31-35 },
numpages = 5,
url = { /proceedings/iccia/number8/5150-1062/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference in Computational Intelligence
%A Vivek Deshpande
%A Vijay Wadhai
%A J B Helonde
%T Characterizing the Memory Management for Improving the Performance of Embedded system used in Wireless Sensor Networks
%J International Conference in Computational Intelligence
%@ 0975-8887
%V ICCIA
%N 8
%P 31-35
%D 2012
%I International Journal of Computer Applications
Abstract

Memory management is a fundamental technique in embedded systems design like wireless sensor networks. This is particularly true for mission-critical and safety-critical embedded systems where response times need to be predictable and bounded. The typical solution used is to allocate, during system initialization, a fixed size pool or stack of buffers. The buffer size is typically chosen as the maximum possible request size foreseen by the intended application, e.g. the maximum transfer unit (MTU) of a protocol data unit (PDU). This results in low overall memory utilization because many requests will require far lower memory than the buffer size or cache. This leads to the serious attention to have for embedded systems especially when it will be the wireless embedded system e.g. WSN. We are trying to deal with the parameters which emphasize the performance of memory management. In this paper we investigate the issues related to the memory management used for wireless embedded systems (WSN).

References
  1. Attila Strba, Research & Development, EnOcean GmbH , “Operating System Design Challenges for Wireless Embedded Systems Powered by Energy Harvesters”, White paper, www.enocean.com, April 2009.
  2. Vivek Deshpande, Prachi Sarode, Sambhaji Sarode, “Root Cause Analysis of congestion in Wireless sensor Networks”, International Journal of Computer Applications (0975 - 8887) Volume 1 – No. 18, 2010
  3. Derek Chiou, Prabhat Jain, Larry Rudolph, and Srinivas Devadas, “Application Specific Memory Management for Embedded Systems Using software Controlled Caches”, Department of EECS Massachusetts Institute of Technology, In the proceedings of the 37th Design Automation Conference Architecture, 2000, June
  4. F. Sanchez, A. Gonzalez_ and M. Valero,” Software Management of Selective and Dual Data Caches”, IEEE Computer Society Technical Committee on Computer Architecture Special Issue on Distributed Shared Memory and Related Issues pages 3-10, Mar 1997.
  5. M. Tomasko, S. Hadjiyiannis and W. Najjar,” Experimental Evaluation of Array Caches”, IEEE Computer Society Technical Committee on Computer Architecture Special Issue on Distributed Shared Memory and Related Issues pages 11-16, Mar 1997.
  6. Prabhat Jain, Derek Chiou, Srinivas Devadas, Larry Rudolph, “Application-Specific Memory Management for Embedded Systems”, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, November 1999.
  7. Savvas Gitzenis, Member, IEEE, and Nicholas Bambos, Member, IEEE, “Joint Transmitter Power Control and Mobile Cache Management in Wireless Computing”, IEEE Transactions on Mobile Computing, Vol. 7, No. 4, April 2008.
  8. Meng Wang, Yi Wang, Duo Liu, and Zili Shao, “Improving the Reliability of Embedded Systems with Cache and SPM”, Hong Kong Polytechnic University, IEEE, 2009
  9. Khaled Elsayed,Chief Technology Officer Mohamed Galal, Software Specialist , “How to build memory management for wired/wireless nets (Part 1)”, Embedded Wireless Business Unit SySDSoft, eetindia.com , EE Times-India
  10. ZHOU Yi-min , MU Tong-xin, “Research On Dynamic Memory Management Mechanism For Embedded System”, University of Shanghai for Science and Technology, The 1st International Conference on Information Science and Engineering (ICISE2009).
Index Terms

Computer Science
Information Sciences

Keywords

Memory management wireless embedded system Buffer Cache Wireless Sensor Networks