/. Wsnet and . Simulator-wsnet, available from spaces with heterogeneous sensors, Sensor Technologies and Applications (SEN- SORCOMM), 2010 Fourth International Conference on, pp.281-286, 2010.

A. Fraboulet, G. Chelius, and E. Fleury, Worldsens, Proceedings of the 6th international conference on Information processing in sensor networks , IPSN '07, pp.176-185, 2007.
DOI : 10.1145/1236360.1236385

URL : https://hal.archives-ouvertes.fr/hal-00399617

S. Gao, H. Zhang, K. Sajal, and . Das, Efficient Data Collection in Wireless Sensor Networks with Path-Constrained Mobile Sinks, IEEE Transactions on Mobile Computing, vol.10, issue.4, pp.592-608, 2011.
DOI : 10.1109/TMC.2010.193

A. Giorgetti, M. Lucchi, M. Chiani, Z. Moe, and . Win, Throughput per pass for data aggregation from a wireless sensor network via a uav. Aerospace and Electronic Systems, IEEE Transactions on, vol.47, issue.4, pp.2610-2626, 2011.

Y. Gu, D. Bozdag, E. Ekici, F. Füsun¨ozgüner, and C. Lee, Partitioning based mobile element scheduling in wireless sensor networks, SECON, pp.386-395, 2005.

F. Guerriero, R. Surace, V. Loscri, and E. Natalizio, A multiobjective approach for unmanned aerial vehicle routing problem with soft time windows constraints, Applied Mathematical Modelling, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00917512

E. Ben, H. , and G. Chelius, Strategies for data dissemination to mobile sinks in wireless sensor networks, Wireless Communications IEEE, vol.15, issue.6, pp.31-37, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00384839

J. Liang-he, J. Pan, and . Xu, A progressive approach to reducing data collection latency in wireless sensor networks with mobile elements, Mobile Computing IEEE Transactions on, vol.12, issue.7, pp.1308-1320, 2013.

D. Jea, A. Somasundara, and M. Srivastava, Multiple Controlled Mobile Elements (Data Mules) for Data Collection in Sensor Networks, Distributed Computing in Sensor Systems, pp.244-257, 2005.
DOI : 10.1007/11502593_20

A. Kansal, A. Arun, . Somasundara, D. David, . Jea et al., Intelligent fluid infrastructure for embedded networks, Proceedings of the 2nd international conference on Mobile systems, applications, and services , MobiSYS '04, pp.111-124, 2004.
DOI : 10.1145/990064.990080

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.183.5130

J. Li and P. Mohapatra, Analytical modeling and mitigation techniques for the energy hole problem in sensor networks, Pervasive and Mobile Computing, vol.3, issue.3, pp.233-254, 2007.
DOI : 10.1016/j.pmcj.2006.11.001

W. Liang, J. Luo, and X. Xu, Prolonging Network Lifetime via a Controlled Mobile Sink in Wireless Sensor Networks, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010, pp.1-6, 2010.
DOI : 10.1109/GLOCOM.2010.5683095

K. Magklara, D. Zorbas, and T. Razafindralambo, Node Discovery and Replacement Using Mobile Robot, Ad Hoc Networks, pp.59-71, 2013.
DOI : 10.1007/978-3-642-10625-5_10

URL : https://hal.archives-ouvertes.fr/hal-00740172

I. Papadimitriou and L. Georgiadis, Energy-aware routing to maximize lifetime in wireless sensor networks with mobile sink, journal of Communications software and Systems, vol.2, issue.2, pp.141-151, 2006.

K. Bahadir, P. Polat, . Sachdeva, H. Mostafa, E. W. Ammar et al., Message ferries as generalized dominating sets in intermittently connected mobile networks, Pervasive and Mobile Computing, vol.7, issue.2, pp.189-205, 2011.

J. Rao and S. Biswas, Network-assisted sink navigation for distributed data gathering: Stability and delay-energy trade-offs, Computer Communications, vol.33, issue.2, pp.160-175, 2010.
DOI : 10.1016/j.comcom.2009.08.009

T. Rault, A. Bouabdallah, and Y. Challal, WSN lifetime optimization through controlled sink mobility and packet buffering, Global Information Infrastructure Symposium, GIIS 2013, pp.1-6, 2013.
DOI : 10.1109/GIIS.2013.6684346

C. Rahul, S. Shah, S. Roy, W. Jain, and . Brunette, Data mules: Modeling and analysis of a three-tier architecture for sparse sensor networks, Ad Hoc Networks, pp.215-233, 2003.

A. Arun, A. Somasundara, . Kansal, D. David, D. Jea et al., Controllably mobile infrastructure for low energy embedded networks, Mobile Computing IEEE Transactions on, vol.5, issue.8, pp.958-973, 2006.

C. Tunca, S. Isik, M. Y. Donmez, and C. Ersoy, Distributed Mobile Sink Routing for Wireless Sensor Networks: A Survey, IEEE Communications Surveys & Tutorials, vol.16, issue.2, pp.877-897, 2014.
DOI : 10.1109/SURV.2013.100113.00293

J. Yick, B. Mukherjee, and D. Ghosal, Wireless sensor network survey, Computer Networks, vol.52, issue.12, pp.2292-2330, 2008.
DOI : 10.1016/j.comnet.2008.04.002

M. Younis, F. Izzet, K. Senturk, and . Akkaya, Sookyoung Lee, and Fatih Senel Topology management techniques for tolerating node failures in wireless sensor networks: A survey, Computer Networks, 2013.

W. Zhao, H. Mostafa, and . Ammar, Message ferrying: Proactive routing in highlypartitioned wireless ad hoc networks, Distributed Computing Systems FTDCS 2003. Proceedings. The Ninth IEEE Workshop on Future Trends of, pp.308-314, 2003.

D. Zorbas, C. Douligeris, and V. Fodor, Target location based sink positioning in wireless sensor networks, 2011 18th International Conference on Telecommunications, pp.21-26, 2011.
DOI : 10.1109/CTS.2011.5898923