A New Approach for Wireless Sensor Network Management: LiveNCM

Abstract

The Wireless Sensor Networks (WSN), with their constant evolution, need more and more practical and effective WSN Management Tools (WMT) for large-scale deployment. Due to the resource constraints of wireless sensor node, it is impossible to implement the full classical SNMP standard in WSN applications. Therefore, it is important to develop new WMT providing a subset of functionalities of SNMP standard dedicated to WSN by taking into account the resource constraints of wireless sensor node. In this paper, we propose a new WMT named LiveNCM: LiveNode Non-invasive Context-aware, and modular Management. LiveNCM is based on a configurable modular architecture enables to fit to an application and to provide traditional administration functionalities similar to the SNMP ones. In addition, LiveNCM introduces the concept of noninvasive context-aware to diagnose the wireless sensor node state to reduce the network traffic then the energy consumption. This reduction is obtained by estimating some data with linear models like polygonal ones or interpreting data message exchanges. To validate the proposed concept, the LiveNode platform is used to implement and test energy consumption with LiveNCM protocol.