An IEEE 802.15.4 Based Adaptive Communication Protocol in Wireless Sensor Network: Application to Monitoring the Elderly at Home

Juan Lu^1,2, Adrien Van Den Bossche^1,3, Eric Campo^1,2

¹Univ de Toulouse, Toulouse, France.
²CNRS, LAAS, Toulouse, France.
³CNRS, IRIT, Toulouse, France.

DOI: 10.4236/wsn.2014.69019                

Abstract

Monitoring 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.

Keywords

Wireless Sensor Network, Medium Access Control, Quality of Service, Energy Saving, Mesh Topology, IEEE 802.15.4, Indoor Monitoring Application

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Fnet, T. (2006) Counting on an Aging Population. Computing in Science & Engineering, 8, 88-96. http://dx.doi.org/10.1109/MCSE.2006.107
[2]	Boulanger, J.R. and Deroussent, C. (2008) Preliminary Based Service Evaluation for Elderly People and Healthcare Professional in Residential Home Care Units. Second International Conference on the Digital Society (ICDS 08), 93-101. http://dx.doi.org/10.1109/ICDS.2008.36
[3]	Chen, S.-L., Lee, H.-Y., Chen, C.-A., et al. (2009) Wireless Body Sensor Network with Adaptive Low-Power Design for Biometrics and Healthcare Application. IEEE Systems Journal, 3, 398-409. http://dx.doi.org/10.1109/JSYST.2009.2032440
[4]	Otal, B., Alonso, L. and Verikoukis, C. (2009) Highly Reliable Energy-Saving Mac for Wireless Body Sensor Networks in Healthcare Systems. IEEE Journal on Selected Areas in Communications, 27, 553-565. http://dx.doi.org/10.1109/JSAC.2009.090516
[5]	Mamaghanian, H., Khaled, N., Atienza, D. and Vandergheynst, P. (2011) Compressed Sensing for Real-Time Energy- Efficient ECG Compression on Wireless Body Sensor Nodes. IEEE Transactions on Biomedical Engineering, 58, 2456-2466. http://dx.doi.org/10.1109/TBME.2011.2156795
[6]	Noury, N., Herve, T., Rialle, V., et al. (2000) Monitoring Behavior in Home Using a Smart Fall Sensor and Position Sensors. 1st Annual International Conference on Microtechnologies in Medicine and Biology (ICMMB 00), 607-610. http://dx.doi.org/10.1109/MMB.2000.893857
[7]	Zatout, Y. and Campo, E. (2012) Using Wireless Technologies for Healthcare Monitoring at Home: A Survey. IEEE 14th International Conference on e-Health Networking, Applications and Services (HealthCom 12), 383-386. http://dx.doi.org/10.1109/HealthCom.2012.6379443
[8]	Pomponio, L., Le Goc, M., Pascual, E. and Anfosso, A. (2011) Resident’s Activity at Different Abstraction Levels: Proposition of a General Theoretical Framework. IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS 11), 540-545. http://dx.doi.org/10.1109/IDAACS.2011.6072825
[9]	van den Bossche, A., Val, T. and Campo, E. (2007) Prototyping and Performance Analysis of a QoS MAC Layer for Industrial Wireless Network. 7th International Conference on Fieldbuses and Networks in Industrial and Embedded Systems (IFAC 07), 7. http://dx.doi.org/10.3182/20071107-3-FR-3907.00028
[10]	Mahfoudh, S. and Minet, P. (2009) Maximization of Energy Efficiency in Wireless Ad Hoc and Sensor Networks with SERENA. Mobile Information Systems, Advances in Wireless Networks, 5, 33-52.
[11]	IEEE 802.15.4 Standard (2006) Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (LR-WPANs). IEEE Standard for Information Technology, IEEE-SA Standards Board.
[12]	Yoo, D.S., Park, S.S., Choi, S.S. and Park, S.H. (2008) Dynamic S-MAC Protocol for Wireless Sensor Networks Based on Network Traffic States. 14th Asia-Pacific Conference on Communications (APCC 2008), Tokyo, 14-16 October 2008, 1-5.
[13]	Jeong Gil, K., Tsiftes, N., Dunkels, A. and Terzis, A. (2012) Pragmatic Low-Power Interoperability: ContikiMAC vs TinyOS LPL. 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2012), Seoul, 18-21 June 2012, 94-96. http://dx.doi.org/10.1109/SECON.2012.6276358
[14]	Mihai, G., Alina, D.A. and Ion, B. (2010) Performance Analysis on T-MAC Protocol over a Body Area Network. 3rd International Symposium on Electrical and Electronics Engineering (ISEEE 2010), Galati, 16-18 September 2010, 224-227. http://dx.doi.org/10.1109/ISEEE.2010.5628510
[15]	Yang, O. and Heinzelman, W.B. (2012) Modeling and Performance Analysis for Duty-Cycled MAC Protocols with Applications to S-MAC and X-MAC. IEEE Transactions on Mobile Computing, 11, 905-921. http://dx.doi.org/10.1109/TMC.2011.121
[16]	ZigBee-Alliance. http://www.zigbee.org
[17]	Koubaa, A., Cunha, A. and Alves, M. (2007) A Time Division Beacon Scheduling Mechanism for IEEE 802.15.4/ Zigbee Cluster-Tree Wireless Sensor Networks. 19th Euromicro Conference on Real-Time Systems (ECRTS 2007), Pisa, 4-6 July 2007, 125-135. http://dx.doi.org/10.1109/ECRTS.2007.82
[18]	Koubaa, A., Alves, M., Attia, M. and Van Nieuwenhuyse, A. (2007) Collision-Free Beacon Scheduling Mechanisms for IEEE 802.15.4/Zigbee Cluster-Tree Wireless Sensor Networks. 7th International Workshop on Applications and Services in Wireless Networks (ASWN 2007), Santander, 24-25 May 2007.
[19]	Dang, T., Devic, C., Livolant, E., Van Den Bossche, A. and Val, T. (2008) OCARI: Optimization of Communication for Ad Hoc Reliable Industrial Networks. 6th IEEE International Conference on Industrial Informatics (INDIN 2008), Daejeon, 13-16 July 2008, 688-693. http://dx.doi.org/10.1109/INDIN.2008.4618189
[20]	Alagha, K., Chalhoub, G., Guitton, A., Livolant, E., Mahfoudh, S., Minet, P., Misson, M., Rahme, J., Val, T. and van den Bossche, A. (2009) Cross-Layering in an Industrial Wireless Sensor Network: Case Study of OCARI. Journal of Networks, 4, 411-420. http://dx.doi.org/10.4304/jnw.4.6.411-420
[21]	Muthukumaran, P.S., de Paz, R., ?pinar, R. and Pesch, D. (2010) MeshMAC: Enabling Mesh Networking over IEEE 802.15.4 through Distributed Beacon Scheduling. AD HOC Networks, 28, 561-575. http://dx.doi.org/10.1007/978-3-642-11723-7_38
[22]	Carballido Villaverde, B., De Paz Alberola, R., Rea, S. and Pesch, D. (2010) Experimental Evaluation of Beacon Scheduling Mechanisms for Multihop IEEE 802.15.4 Wireless Sensor Networks. 4th Conference on Sensor Technologies and Applications (SENSORCOMM 2010), Venice, 18-25 July 2010, 226-231. http://dx.doi.org/10.1109/SENSORCOMM.2010.42
[23]	de Paz Alberola, R., Villaverde, B.C. and Pesch, D. (2011) Distributed Duty Cycle Management for IEEE 802.15.4 Beacon-Enabled Wireless Mesh Sensor Networks. IEEE 8th International Conference on Mobile Adhoc and Sensor Systems (MASS 2011), Valencia, 17-22 October 2011, 721-726. http://dx.doi.org/10.1109/MASS.2011.78
[24]	Lu, J., van den Bossche, A. and Campo, E. (2011) An Adaptive and Distributed Collision-Free MAC Protocol for Wireless Personal Area Networks. 6th International Symposium on Intelligent Systems Techniques for Ad hoc and Wireless Sensor Networks (IST-AWSN 11), Niagara Falls, 19-21 September 2011, 798-803. http://dx.doi.org/10.1016/j.procs.2011.07.109
[25]	Lu, J., van den Bossche, A. and Campo, E. (2012) Improving Robustness and Flexibility of MAC Layer for Guaranteed QoS Indoor Monitoring in Wireless Mesh Sensor Networks. 3rd International Conference on Wireless Communications in Unusual and Confined Areas (ICWCUCA 12), Clermont Ferrand, 28-30 August 2012, 1-6. http://dx.doi.org/10.1109/ICWCUCA.2012.6402491
[26]	www.open-zb.net/wpan_simulator.php
[27]	Fourty, N., van den Bossche, A. and Val, T. (2012) An Advanced Study of Energy Consumption in an IEEE 802.15.4 Based Network: Everything but the Truth on 802.15.4 Node Lifetime. Elsevier, Computer Communications, 35, 1759-1767.
[28]	Van den Bossche, A. and Val, T. (2013) WiNo: Une plateforme d’émulation et de prototypage rapide pour l'ingénierie des protocoles en réseaux de capteurs sans fil. UbiMob, Nancy.
[29]	http://www.daintree.net/sna/sna.php
[30]	http://mi.iut-blagnac.fr
[31]	Campo, E., Daran, X. and Redon, L. (2011) A Smart Home between Techniques Sciences and Human Sciences. Une maison intelligente au carrefour des sciences technologiques et des sciences humaines. 2nd Conference on Accessibility and Assistive Systems for Persons in Disabled Situation (ASSISTH 11), 33-42.
[32]	http://irit.fr/~Adrien.Van-Den-Bossche/adcf_application_demonstration_video_v2.flv
[33]	http://lab.iut-blagnac.fr/adcf/
[34]	http://espeak.sourceforge.net/