G. Anastasi, M. Conti, and M. D. Francesco, Data collection in sensor networks with data mules: An integrated simulation analysis, 2008 IEEE Symposium on Computers and Communications, pp.1096-1102, 2008.
DOI : 10.1109/ISCC.2008.4625629

A. Luiz, L. Aquino, and E. F. Nakamura, Data centric sensor stream reduction for real-time applications in wireless sensor networks, Sensors, vol.9, issue.12, pp.9666-9688, 2009.

Z. Bar-yossef, R. Friedman, and G. Kliot, RaWMS - Random Walk Based Lightweight Membership Service for Wireless Ad Hoc Networks, ACM Transactions on Computer Systems, vol.26, issue.2, pp.1-5, 2008.
DOI : 10.1145/1365815.1365817

A. C. Viana, T. Herault, T. Largillier, S. Peyronnet, and F. Za¨?diza¨?di, Supple: a flexible probabilistic data dissemination protocol for wireless sensor networks, Proc. of the 13th ACM Inter. Conf. on Modeling, analysis, and simulation of wireless and mobile systems, pp.385-392, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00544749

J. Eriksson, M. Faloutsos, and S. Krishnamurthy, Scalable ad hoc routing: the case for dynamic addressing, IEEE INFOCOM 2004, pp.1108-1119, 2004.
DOI : 10.1109/INFCOM.2004.1356997

R. Friedman, G. Kliot, and C. Avin, Probabilistic quorum systems in wireless ad hoc networks, Proc. of the 38th IEEE Inter. Conference on Dependable Systems and Networks, pp.277-286, 2008.

R. A. Daniel-ludovico-guidoni, F. Mini, and A. Loureiro, On the design of resilient heterogeneous wireless sensor networks based on small world concepts, pp.1266-1281, 2010.

E. Ben, H. , and G. Chelius, A line-based data dissemination protocol for wireless sensor networks with mobile sink, Proc. of IEEE Int. Conf. on Communications, pp.2201-2205, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00384139

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

A. Liu, X. Wu, Z. Chen, and W. Gui, Research on the energy hole problem based on unequal cluster-radius for wireless sensor networks, Computer Communications, vol.33, issue.3, pp.302-321, 2010.
DOI : 10.1016/j.comcom.2009.09.008

F. Marcelloni and M. Vecchio, A Simple Algorithm for Data Compression in Wireless Sensor Networks, IEEE Communications Letters, vol.12, issue.6, pp.411-413, 2008.
DOI : 10.1109/LCOMM.2008.080300

B. Sheng, Q. Li, and W. Mao, Data storage placement in sensor networks, Proceedings of the seventh ACM international symposium on Mobile ad hoc networking and computing , MobiHoc '06, pp.344-355, 2006.
DOI : 10.1145/1132905.1132943

B. Sheng, C. Chiu, Q. Tan, W. Li, and . Mao, An Approximation Algorithm for Data Storage Placement in Sensor Networks, International Conference on Wireless Algorithms, Systems and Applications (WASA 2007), pp.71-78, 2007.
DOI : 10.1109/WASA.2007.32

Y. Tseng, W. Lai, C. Huang, and F. Wu, Using Mobile Mules for Collecting Data from an Isolated Wireless Sensor Network, 2010 39th International Conference on Parallel Processing, pp.673-679, 2010.
DOI : 10.1109/ICPP.2010.75

M. Vecchio, A. C. Viana, A. Ziviani, and R. Friedman, DEEP: Density-based proactive data dissemination protocol for wireless sensor networks with uncontrolled sink mobility, Computer Communications, vol.33, issue.8, p.33, 2010.
DOI : 10.1016/j.comcom.2010.01.003
URL : https://hal.archives-ouvertes.fr/inria-00455651

Z. Vincze, D. Vass, and R. Vida, Attila Vidacs, and Adras Telcs Adaptive sink mobility in event-driven multi-hop wireless sensor networks, Proc. of 1st Int. Conf. on Integrated Internet Ad Hoc and Sensor Networks, pp.30-31, 2006.

X. Wu, G. Chen, and S. K. Das, Avoiding energy holes in wireless sensor networks with nonuniform node distribution, IEEE Trans. on Parallel and Distributed Systems, vol.19, issue.5, pp.710-720, 2008.

S. Results and .. , 13 4.3.1 Communication Overhead, Efficiency in Search Query, p.17