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An IEEE 802.15.4 Based Adaptive Communication Protocol in Wireless Sensor Network: Application to Monitoring the Elderly at Home
Author(s) -
Juan Lu,
Adrien van den Bossche,
Éric Campo
Publication year - 2014
Publication title -
wireless sensor network
Language(s) - English
Resource type - Journals
eISSN - 1945-3086
pISSN - 1945-3078
DOI - 10.4236/wsn.2014.69019
Subject(s) - computer science , wireless sensor network , computer network , network allocation vector , protocol (science) , wireless , energy consumption , wireless network , ieee 802.11 , telecommunications , medicine , pathology , ecology , biology , alternative medicine
International audienceMonitoring behaviour of the elderly and the disabled living alone has become a major public health problem in our modern societies. Among the various scientific aspects involved in the home monitoring field, we are interested in the study and the proposal of a solution allowing distributed sensor nodes to communicate with each other in an optimal way adapted to the specific application constraints. More precisely, we want to build a wireless network that consists of several short range sensor nodes exchanging data between them according to a communication protocol at MAC (Medium Access Control) level. This protocol must be able to optimize energy consumption, transmission time and loss of information. To achieve this objective, we have analyzed the advantages and the limitations of WSN (Wireless Sensor Network) technologies and communication protocols currently used in relation to the requirements of our application. Then we proposed a deterministic, adaptive and energy saving medium access method based on the IEEE 802.15.4 physical layer and a mesh topology. It ensures the message delivery time with strongly limited collision risk due to the spatial reuse of medium in the two-hop neighbourhood. This proposal was characterized by modelling and simulation using OPNET network simulator. Finally we implemented the proposed mechanisms on hardware devices and deployed a sensors network in real situation to verify the accuracy of the model and evaluate the proposal according to different test configurations

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