Iarc: Outdoor air pollution a leading environmental cause of cancer deaths ,
The air quality monitoring organization of the paris agglomeration ,
Wireless sensor network survey, Computer Networks, vol.52, issue.12, pp.2292-2330, 2008. ,
DOI : 10.1016/j.comnet.2008.04.002
Wireless sensor networks: a survey, Computer Networks, vol.38, issue.4, pp.393-422, 2002. ,
DOI : 10.1016/S1389-1286(01)00302-4
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.206.3866
Wireless sensor network for real-time air pollution monitoring, 2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA), pp.1-5, 2013. ,
DOI : 10.1109/ICCSPA.2013.6487323
A survey on coverage and connectivity issues in wireless sensor networks, Journal of Network and Computer Applications, vol.35, issue.2, pp.619-632, 2012. ,
DOI : 10.1016/j.jnca.2011.11.016
Wireless sensor network lifetime maximization by optimal sensor deployment, activity scheduling, data routing and sink mobility, Ad Hoc Networks, pp.18-36, 2014. ,
DOI : 10.1016/j.adhoc.2014.01.003
Multi-objective node deployment in WSNs: In search of an optimal trade-off among coverage, lifetime, energy consumption, and connectivity, Engineering Applications of Artificial Intelligence, vol.26, issue.1, pp.405-416, 2013. ,
DOI : 10.1016/j.engappai.2012.05.018
Sensor deployment optimization methods to achieve both coverage and connectivity in wireless sensor networks, Computers & Operations Research, vol.59, pp.11-21, 2015. ,
DOI : 10.1016/j.cor.2014.11.002
Strategies and techniques for node placement in wireless sensor networks: A survey, Ad Hoc Networks, pp.621-655, 2008. ,
DOI : 10.1016/j.adhoc.2007.05.003
Energy-Efficient Range Assignment in Heterogeneous Wireless Sensor Networks, 2006 International Conference on Wireless and Mobile Communications (ICWMC'06), pp.11-11, 2006. ,
DOI : 10.1109/ICWMC.2006.44
Coverage and connectivity issues in wireless sensor networks, Mobile, wireless, and sensor networks: Technology, applications, and future directions, pp.221-256, 2006. ,
Grid coverage for surveillance and target location in distributed sensor networks, IEEE Transactions on Computers, vol.51, issue.12, pp.1448-1453, 2002. ,
DOI : 10.1109/TC.2002.1146711
Optimal Deployment of Wireless Sensor Networks for Air Pollution Monitoring, 2015 24th International Conference on Computer Communication and Networks (ICCCN), pp.1-7, 2015. ,
DOI : 10.1109/ICCCN.2015.7288443
URL : https://hal.archives-ouvertes.fr/hal-01171765
MIPLIB 2010, Mathematical Programming Computation, vol.106, issue.3, pp.103-163, 2010. ,
DOI : 10.1007/s12532-011-0025-9
Dynamic coverage of mobile sensor networks Parallel and Distributed Systems, IEEE Transactions on, vol.24, issue.2, pp.301-311, 2013. ,
Binary integer programming formulation and heuristics for differentiated coverage in heterogeneous sensor networks, Computer Networks, vol.52, issue.12, pp.2419-2431, 2008. ,
DOI : 10.1016/j.comnet.2008.05.002
Air pollution modeling?an overview Ambient air pollution, 2007. ,
The Mathematics of Atmospheric Dispersion Modeling, SIAM Review, vol.53, issue.2, pp.349-372, 2011. ,
DOI : 10.1137/10080991X
CitySense: An Urban-Scale Wireless Sensor Network and Testbed, 2008 IEEE Conference on Technologies for Homeland Security, pp.583-588, 2008. ,
DOI : 10.1109/THS.2008.4534518
Energy efficient sensor, relay and base station placements for coverage, connectivity and routing, PCCC 2005. 24th IEEE International Performance, Computing, and Communications Conference, 2005., pp.581-586, 2005. ,
DOI : 10.1109/PCCC.2005.1460641
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.116.7100
London atmospheric emissions inventory 2010 ,
Tight and compact milp formulation of start-up and shut-down ramping in unit commitment, IEEE Transactions on, vol.28, issue.2, pp.1288-1296, 2013. ,
Energy efficient schemes for wireless sensor networks with multiple mobile base stations, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489), pp.377-381, 2003. ,
DOI : 10.1109/GLOCOM.2003.1258265
A Mobile and Low-Cost System for Environmental Monitoring: A Case Study, Sensors, vol.16, issue.5, p.710, 2016. ,
DOI : 10.3390/s130100221