I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, 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://www.ijcaonline.org/volume21/number4/pxc3873382.pdf

T. Watteyne, From MANET To IETF ROLL Standardization: A Paradigm Shift in WSN Routing Protocols, IEEE Communications Surveys & Tutorials, vol.13, issue.4, pp.688-707, 2011.
DOI : 10.1109/SURV.2011.082710.00092

P. Karkazis, Design of primary and composite routing metrics for RPL-compliant Wireless Sensor Networks, 2012 International Conference on Telecommunications and Multimedia (TEMU)
DOI : 10.1109/TEMU.2012.6294705

T. Winter, RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks, RFC IETF, vol.6550, 2012.
DOI : 10.17487/rfc6550

K. Staniec and G. Debita, An Optimal Sink Nodes Number Estimation for Improving the Energetic Efficiency in Wireless Sensor Networks, Electronics and Electrical Engineering, vol.19, issue.8, pp.115-118, 2013.
DOI : 10.5755/j01.eee.19.8.5407

D. D. Couto, a high-throughput path metric for multi-hop wireless routing, Wireless Networks, vol.11, issue.4, 2003.
DOI : 10.1007/s11276-005-1766-z

P. Kamgueu, Energy-Based Routing Metric for RPL, Research Report RR, vol.8208, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00779519

M. Conti, Reliable and efficient forwarding in ad hoc networks, Ad Hoc Networks, vol.4, issue.3, pp.398-415, 2006.
DOI : 10.1016/j.adhoc.2004.10.006

L. R. Reddy and S. Raghavan, SMORT: Scalable multipath on-demand routing for mobile ad hoc networks, Ad Hoc Networks, vol.5, issue.2, pp.162-188, 2007.
DOI : 10.1016/j.adhoc.2005.10.002

O. Banimelhem and S. Khasawneh, GMCAR: Grid-based multipath with congestion avoidance routing protocol in wireless sensor networks, Ad Hoc Networks, vol.10, issue.7
DOI : 10.1016/j.adhoc.2012.03.015

M. Radi, Multipath Routing in Wireless Sensor Networks: Survey and Research Challenges, Sensors, vol.16, issue.12
DOI : 10.1016/S1007-0214(11)70067-0

R. Malekian, A. H. Abdullah, and N. Ye, A novel resource reservation based on cross layer design over mobile internet protocol version 6, Journal of Internet Technology, vol.15, issue.3, pp.391-404, 2014.

R. Malekian and A. H. Abdullah, Traffic engineering based on effective envelope algorithm on novel resource reservation method over mobile internet protocol version 6, International Journal of Innovative, Computing, Information and Control, vol.8, issue.9, pp.6445-6459, 2012.

R. Malekian, A. H. Abdullah, and N. Ye, Novel Packet Queuing Algorithm on Packet Delivery in Mobile Internet Protocol Version 6 Networks, Applied Mathematics & Information Sciences, vol.7, issue.3, pp.881-887, 2013.
DOI : 10.12785/amis/070306

O. Iova, F. Theoleyre, and T. Noel, Maximizing the lifetime of wireless sensor networks with rpl, Wireless and Mobile Networking Conference (WMNC), 2014.

J. Vasseur, Objective Function Zero for the Routing Protocol for Low-Power and Lossy Networks (RPL), RFC IETF, vol.6552, 2013.

B. Pavkovi´cpavkovi´c, Multipath Opportunistic RPL Routing over IEEE 802.15, 2011.

K. Hong and L. Choi, DAG-based multipath routing for mobile sensor networks, ICTC 2011, 2011.
DOI : 10.1109/ICTC.2011.6082593

J. Vasseur, Routing Metrics Used for Path Calculation in Low-Power and Lossy Networks, RFC IETF, vol.6551, 2012.
DOI : 10.17487/rfc6551

O. Chipara, Real-time Power-Aware Routing in Sensor Networks, 200614th IEEE International Workshop on Quality of Service, pp.83-92, 2006.
DOI : 10.1109/IWQOS.2006.250454

H. Yoo, GLOBAL: A Gradient-based Routing Protocol for Loadbalancing in Large-scale Wireless Sensor Networks with Multiple Sinks, 2010.

J. Chang and L. Tassiulas, Maximum Lifetime Routing in Wireless Sensor Networks, IEEE/ACM Transactions on Networking, vol.12, issue.4, p.833122, 2004.
DOI : 10.1109/TNET.2004.833122

H. Liu, PWave: A Multi-source Multi-sink Anycast Routing Framework for Wireless Sensor Networks, 2007.
DOI : 10.1145/958491.958506

URL : http://www-users.cs.umn.edu/~zhzhang/Papers/HaiyangLiu-networking07.pdf

L. Chang, Energy-Efficient Oriented Routing Algorithm in Wireless Sensor Networks, 2013 IEEE International Conference on Systems, Man, and Cybernetics
DOI : 10.1109/SMC.2013.651

D. Ganesan, Highly-resilient, energy-efficient multipath routing in wireless sensor networks, ACM SIGMOBILE Mobile Computing and Communications Review, vol.5, issue.4, pp.11-25, 2001.
DOI : 10.1145/509506.509514

Y. Chen and N. Nasser, Energy-balancing multipath routing protocol for wireless sensor networks, Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks , QShine '06, 2006.
DOI : 10.1145/1185373.1185401

T. Ming-hao, Multipath routing protocol with load balancing in WSN considering interference, 2011 6th IEEE Conference on Industrial Electronics and Applications, 2011.
DOI : 10.1109/ICIEA.2011.5975744

R. Kacimi, Load balancing techniques for lifetime maximizing in wireless sensor networks, Ad Hoc Networks, pp.2172-2186, 2013.
DOI : 10.1016/j.adhoc.2013.04.009

URL : https://hal.archives-ouvertes.fr/hal-01130050

B. Yahya, REER: Robust and Energy Efficient Multipath Routing Protocol for Wireless Sensor Networks, GLOBECOM 2009, 2009 IEEE Global Telecommunications Conference, 2009.
DOI : 10.1109/GLOCOM.2009.5425587

E. Ghadimi, Opportunistic Routing in Low Duty-Cycle Wireless Sensor Networks, ACM Transactions on Sensor Networks, vol.10, issue.4, pp.1-67, 2014.
DOI : 10.1109/TMC.2003.1255648

K. Lee, Satisfying the target network lifetime in wireless sensor networks, Computer Networks, vol.65, issue.0, pp.41-55, 2014.
DOI : 10.1016/j.comnet.2014.03.001

L. Mo, Canopy closure estimates with GreenOrbs, Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys '09, 2009.
DOI : 10.1145/1644038.1644049

G. Barrenetxea, SensorScope: Out-of-the-Box Environmental Monitoring, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008), 2008.
DOI : 10.1109/IPSN.2008.28

X. Mao, Citysee: Urban CO2 monitoring with sensors, INFO- COM
DOI : 10.1109/infcom.2012.6195530

URL : http://www.cse.ust.hk/%7Eliu/Infocom_12_Xufei.pdf

O. Iova, Stability and efficiency of RPL under realistic conditions in Wireless Sensor Networks, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
DOI : 10.1109/PIMRC.2013.6666490

URL : https://hal.archives-ouvertes.fr/hal-01206376

J. Sobrinho, Network routing with path vector protocols, Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications , SIGCOMM '03, 2003.
DOI : 10.1145/863955.863963

G. Ahn, Funneling-MAC, Proceedings of the 4th international conference on Embedded networked sensor systems , SenSys '06, pp.293-306, 2006.
DOI : 10.1145/1182807.1182837

I. Kadayif, An integer linear programming-based tool for wireless sensor networks, Journal of Parallel and Distributed Computing, vol.65, issue.3, pp.247-260, 2005.
DOI : 10.1016/j.jpdc.2004.04.004

W. Luan, D. Sharp, and S. Lancashire, Smart grid communication network capacity planning for power utilities, in: Transmission and Distribution Conference and Exposition, 2010.

M. Rossi, G. Zanca, L. Stabellini, R. Crepaldi, A. Harris et al., SYNAPSE: A Network Reprogramming Protocol for Wireless Sensor Networks Using Fountain Codes, 2008 5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, pp.188-196, 2008.
DOI : 10.1109/SAHCN.2008.32

URL : http://cariparo.dei.unipd.it/documents/papers-year-1/SYNAPSE-SECON2008.pdf

E. B. Hamida, On the complexity of an accurate and precise performance evaluation of wireless networks using simulations, Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems, MSWiM '08, 2008.
DOI : 10.1145/1454503.1454570

URL : https://hal.archives-ouvertes.fr/inria-00384082

Y. Chen and A. Terzis, On the implications of the log-normal path loss model, Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems, SenSys '11, pp.10-1145, 2011.
DOI : 10.1145/2070942.2070946

O. Gnawali and P. Levis, The Minimum Rank with Hysteresis Objective Function, IETF, vol.6719, 2012.
DOI : 10.17487/rfc6719