Online code compression in Wireless Sensor Networks

Author

Talzi, Igor ; Tschudin, Christian

Author_Institution

Comput. Sci. Dept., Univ. of Basel, Basel, Switzerland

fYear

2011

fDate

23-27 May 2011

Firstpage

301

Lastpage

310

Abstract

A problem in Wireless Sensor Networks (WSN), an extremely resource-limited system, is that re-tasking by replacing complete or partial code images is both disruptive and energy intensive. In this paper we report on a dynamic code compression scheme for mobile code that we implemented for a WSN. We use a fine-grained code mobility scheme based on capsules, ChameleonVM, where network functionality can be deployed on demand and for several tasks in parallel. Within a task´s virtual network segment we let our ChameleonVM optimize the assignment of instruction bits: Mobile code instructions are re-coded on a regional basis and depending on the actual code sequences used, incrementally leading to smaller capsules. We demonstrate the operation of our online compression scheme with a time-sync protocol and discuss its performance.

Keywords

data compression; distributed programming; protocols; virtual machines; wireless sensor networks; ChameleonVM; capsule; code sequence; dynamic code compression; fine-grained code mobility; instruction bit; mobile code instruction; network functionality; online code compression; resource-limited system; time-sync protocol; virtual machine; virtual network segment; wireless sensor network; Dictionaries; Middleware; Mobile communication; Peer to peer computing; Protocols; Random access memory; Wireless sensor networks; Code Compression; Resource-Aware Protocols; Run-Time Optimization; Wireless Sensor Networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Collaboration Technologies and Systems (CTS), 2011 International Conference on

Conference_Location

Philadelphia, PA

Print_ISBN

978-1-61284-638-5

Type

conf

DOI

10.1109/CTS.2011.5928702

Filename

5928702