Using multiparent routing in RPL to increase the stability and the lifetime of the network

Ad Hoc Networks

Volumn 29, Issue , 2015, Pages 45-62

  Iova, Oana ^a   Theoleyre, Fabrice ^a   Noel, Thomas ^a  

^a UNIVERSITÉ DE STRASBOURG   (France)

Author keywords

Energy balancing; Network lifetime; RPL

Indexed keywords

DIRECTED GRAPHS; ENERGY BALANCE; ENERGY UTILIZATION; LOW POWER ELECTRONICS; POWER MANAGEMENT (TELECOMMUNICATION); SENSOR NODES; TOPOLOGY;

DESIGN MECHANISMS; DIRECTED ACYCLIC GRAPH (DAG); ENERGY-BALANCING; EXPECTED LIFETIME; MULTI-PATH APPROACHES; NETWORK LIFETIME; ROUTING RELIABILITIES; ROUTING TOPOLOGY;

NETWORK ROUTING;

EID: 84924625215     PISSN: 15708705     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.adhoc.2015.01.020     Document Type: Article

References (43)

1. I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci Wireless sensor networks: a survey Comput. Netw. 38 4 2002 393 422 10.1016/S1389-1286(01)00302-4
2. T. Watteyne et al. From MANET to IETF ROLL standardization: a paradigm shift in WSN routing protocols IEEE Commun. Surv. Tutorials 13 4 2011 688 707 10.1109/SURV.2011.082710.00092
3. P. Karkazis et al. Design of primary and composite routing metrics for RPL-compliant wireless sensor networks TEMU 2012 IEEE 13 18 10.1109/TEMU.2012.6294705
4. T. Winter et al., RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks, RFC 6550, IETF, 2012.
5. K. Staniec, and G. Debita An optimal sink nodes number estimation for improving the energetic efficiency in wireless sensor networks Elektron. Elektrotech. 19 8 2013 115 118 10.5755/j01.eee.19.8.5407
6. D.D. Couto et al. A high-throughput path metric for multi-hop wireless routing MobiCom 2003 ACM 10.1145/938985.939000
7. P. Kamgueu et al., Energy-Based Routing Metric for RPL, Research Report RR-8208, INRIA, 2013. .
8. M. Conti et al. Reliable and efficient forwarding in ad hoc networks Ad Hoc Netw. 4 3 2006 398 415 10.1016/j.adhoc.2004.10.006
9. L. Reddeppa Reddy, and S. Raghavan SMORT: scalable multipath on-demand routing for mobile ad hoc networks Ad Hoc Netw. 5 2 2007 162 188 10.1016/j.adhoc.2005.10.002
10. O. Banimelhem, and S. Khasawneh GMCAR: grid-based multipath with congestion avoidance routing protocol in wireless sensor networks Ad Hoc Netw. 10 7 2012 1346 1361 10.1016/j.adhoc.2012.03.015
11. M. Radi et al., Multipath routing in wireless sensor networks: survey and research challenges, Sensors 12(1). http://dx.doi.org/10.3390/s120100650.
12. R. Malekian, A.H. Abdullah, and N. Ye A novel resource reservation based on cross layer design over mobile internet protocol version 6 J. Internet Technol. 15 3 2014 391 404
13. R. Malekian, and A.H. Abdullah Traffic engineering based on effective envelope algorithm on novel resource reservation method over mobile internet protocol version 6 Int. J. Innovative Comput. Inform. Control 8 9 2012 6445 6459
14. R. Malekian, A.H. Abdullah, and N. Ye Novel packet queuing algorithm on packet delivery in mobile internet protocol version 6 networks Appl. Math. Inform. Sci. 7 3 2013 881 887
15. O. Iova, F. Theoleyre, T. Noel, Maximizing the lifetime of wireless sensor networks with RPL, in: Wireless and Mobile Networking Conference (WMNC), IEEE/IFIP, Vilamoura, Algarve, Portugal, 2014.
16. J.P. Vasseur et al., Objective Function Zero for the Routing Protocol for Low-Power and Lossy Networks (RPL), RFC 6552, IETF, 2013.
17. B. Pavković et al. Multipath Opportunistic RPL Routing over IEEE 802.15.4 MSWiM 2011 ACM 10.1145/2068897.2068929
18. K.-S. Hong, and L. Choi DAG-based multipath routing for mobile sensor networks ICTC 2011 IEEE 10.1109/ICTC.2011.6082593
19. J. Vasseur et al., Routing Metrics Used for Path Calculation in Low-Power and Lossy Networks, RFC 6551, IETF, 2012.
20. O. Chipara et al., Real-time power-aware routing in sensor networks, in: 14th IEEE International Workshop on Quality of Service, 2006, IWQoS 2006, 2006, pp. 83-92. http://dx.doi.org/10.1109/IWQOS.2006.250454.
21. H. Yoo et al. GLOBAL: a gradient-based routing protocol for load-balancing in large-scale wireless sensor networks with multiple sinks ISCC 2010 IEEE 10.1109/ISCC.2010.5546784
22. J.-H. Chang, and L. Tassiulas Maximum lifetime routing in wireless sensor networks IEEE/ACM Trans. Netw. 12 4 2004 609 619 10.1109/TNET.2004.833122
23. H. Liu et al. PWave: a multi-source multi-sink anycast routing framework for wireless sensor networks Networking IFIP 2007 Springer-Verlag
24. L.-H. Chang et al. Energy-efficient oriented routing algorithm in wireless sensor networks SMC 2013 IEEE 10.1109/SMC.2013.651
25. D. Ganesan et al. energy-efficient multipath routing in wireless sensor networks SIGMOBILE Mob. Comput. Commun. Rev. 5 4 2001 11 25 10.1145/509506.509514
26. Y. Chen, and N. Nasser Energy-balancing multipath routing protocol for wireless sensor networks QShine 2006 ACM
27. T. Ming-hao et al. Multipath routing protocol with load balancing in WSN considering interference ICIEA 2011 IEEE 10.1109/ICIEA.2011.5975744
28. R. Kacimi et al. Load Balancing Techniques for Lifetime Maximizing in Wireless Sensor Networks Ad Hoc Netw. 11 8 2013 2172 2186 10.1016/j.adhoc.2013.04.009
29. B. Yahya et al. REER: robust and energy efficient multipath routing protocol for wireless sensor networks GLOBECOM 2009 IEEE 10.1109/GLOCOM.2009.5425587
30. E. Ghadimi et al. Opportunistic routing in low duty-cycle wireless sensor networks ACM Trans. Sensor Netw. 10 4 2014 67:1 67:39 10.1145/2533686
31. K. Lee et al. Satisfying the target network lifetime in wireless sensor networks Comput. Netw. 65 0 2014 41 55 10.1016/j.comnet.2014.03.001
32. L. Mo et al. Canopy closure estimates with GreenOrbs: sustainable sensing in the forest SenSys 2009 ACM 10.1145/1644038.1644049
33. G. Barrenetxea et al. Sensorscope: out-of-the-box environmental monitoring IPSN 2008 IEEE 10.1109/IPSN.2008.28
34. 2 monitoring with sensors INFOCOM 2012 IEEE 10.1109/INFCOM.2012.6195530
35. O. Iova et al. Stability and efficiency of RPL under realistic conditions in wireless sensor networks PIMRC 2013 IEEE 10.1109/PIMRC.2013.6666490
36. J.-L. Sobrinho Network routing with path vector protocols: theory and applications SIGCOMM 2003 ACM 10.1145/863955.863963
37. G.-S. Ahn et al. sink-oriented mac for boosting fidelity in sensor networks SenSys 2006 ACM New York, NY, USA 293 306 10.1145/1182807.1182837 http://doi.acm.org.gate6.inist.fr/10.1145/1182807.1182837
38. I. Kadayif et al. An integer linear programming-based tool for wireless sensor networks J. Parall. Distrib. Comput. 65 3 2005 247 260 10.1016/j.jpdc.2004.04.004
39. W. Luan, D. Sharp, and S. Lancashire Smart grid communication network capacity planning for power utilities Transmission and Distribution Conference and Exposition 2010 IEEE 10.1109/TDC.2010.5484223
40. M. Rossi, G. Zanca, L. Stabellini, R. Crepaldi, A. Harris, and M. Zorzi Synapse: a network reprogramming protocol for wireless sensor networks using fountain codes Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON) 2008 IEEE 188 196 10.1109/SAHCN.2008.32
41. E. Ben Hamida et al. On the complexity of an accurate and precise performance evaluation of wireless networks using simulations MSWiM 2008 ACM 10.1145/1454503.1454570
42. Y. Chen, and A. Terzis On the implications of the log-normal path loss model: an efficient method to deploy and move sensor motes SenSys 2011 ACM 10.1145/2070942.2070946
43. O. Gnawali, P. Levis, The Minimum Rank with Hysteresis Objective Function, RFC 6719, IETF, 2012.