DocumentCode :
3590696
Title :
Energy consumption modeling of smart nodes with a function approach
Author :
Randrianarisaina, Aina ; Pasquier, Olivier ; Charge, Pascal
Author_Institution :
IETR Lab., Univ. of Nantes, Nantes, France
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
In WSN, to ensure the lifetime durability of node, designers must take into account the constraint of energy consumption when specifying and designing an application. In this paper, a simulation tool for WSN is presented. The network model considered here is composed of the communication channel and node models which are both described with a function approach. The main goal of this work is to highlight the advantages of this function approach modeling. The latter allows to have an estimation of energy consumption linked to time and related to each node function activity in the network model. This information will be useful for designers at an early stage of the node design process. This function approach enables to consider the smart behavioral aspect of node and to show its influence on node energy consumption. It thus help designers in choices to define a solution (both at application and hardware levels). In order to demonstrate the possibilities of this approach, a monitoring function is added within node. Its purpose is to manage other functions with the aim of node energy consumption optimizing. Results show that the proposal approach provides information about links of smart behavior and mobility on dynamic power consumption in a node.
Keywords :
durability; radio links; telecommunication power management; wireless channels; wireless sensor networks; WSN smart node energy consumption modeling; communication channel link; dynamic power consumption; function approach modeling; wireless sensor network lifetime durability; Energy consumption; Instruction sets; Mathematical model; Monitoring; Power demand; Switches; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design and Architectures for Signal and Image Processing (DASIP), 2014 Conference on
Type :
conf
DOI :
10.1109/DASIP.2014.7115645
Filename :
7115645
Link To Document :
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