Energy harvested roadside IEEE 802.15.4 wireless sensor networks for IoT applications

Ad Hoc Networks

Volumn 56, Issue , 2017, Pages 109-121

  Nguyen, Thien D ^a   Khan, Jamil Y ^a   Ngo, Duy T ^a  

^a UNIVERSITY OF NEWCASTLE   (Australia)

Author keywords

Adaptive duty cycle; Energy backoff; Energy harvesting; IEEE 802.15.4; IoT; Piezoelectric and vehicular traffic

Indexed keywords

ACCESS CONTROL; ENERGY EFFICIENCY; ENERGY HARVESTING; INTERNET OF THINGS; MEDIUM ACCESS CONTROL; PARAMETER ESTIMATION; QUALITY OF SERVICE; SENSOR NODES; STANDARDS;

BACKOFF; DUTY-CYCLE; ENERGY EFFICIENT ALGORITHMS; IEEE 802.15.4; INTERNET OF THING (IOT); MEDIUM ACCESS CONTROL(MAC); QUALITY OF SERVICE (QOS) GUARANTEES; TRANSMISSION PARAMETERS;

WIRELESS SENSOR NETWORKS;

EID: 85008194322     PISSN: 15708705     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.adhoc.2016.12.003     Document Type: Article

References (44)

1. [1] Atzori, L., Iera, A., Morabito, G., The internet of things: a survey. Comput. Netw. 54:15 (2010), 2787–2805, 10.1016/j.comnet.2010.05.010.
2. [2] Tentzeris, M., Georgiadis, A., Roselli, L., Energy harvesting and scavenging. Proc. IEEE 102:11 (2014), 1644–1648, 10.1109/JPROC.2014.2361599.
3. [3] Misic, V.B., Misic, J., Machine-to-Machine Communications: Architectures, Technology, Standards, and Applications. 2014, CRC Press.
4. [4] Zanella, A., Bui, N., Castellani, A., Vangelista, L., Zorzi, M., Internet of things for smart cities. IEEE Internet Things J. 1:1 (2014), 22–32, 10.1109/JIOT.2014.2306328.
5. [5] Kamalinejad, P., Mahapatra, C., Sheng, Z., Mirabbasi, S., Leung, V., Guan, Y.L., Wireless energy harvesting for the internet of things. IEEE Commun. Mag. 53:6 (2015), 102–108, 10.1109/MCOM.2015.7120024.
6. [6] Borgia, E., The internet of things vision: key features, applications and open issues. Comput Commun 54 (2014), 1–31 http://dx.doi.org/10.1016/j.comcom.2014.09.008.
7. [7] Roselli, L., Carvalho, N.B., Alimenti, F., Mezzanotte, P., Orecchini, G., Virili, M., Mariotti, C., Gonçalves, R., Pinho, P., Smart surfaces: large area electronics systems for internet of things enabled by energy harvesting. Proc. IEEE 102:11 (2014), 1723–1746, 10.1109/JPROC.2014.2357493.
8. [8] Zhou, Y., Huang, C., Jiang, T., Cui, S., Wireless sensor networks and the internet of things: optimal estimation with nonuniform quantization and bandwidth allocation. IEEE Sens. J 13:10 (2013), 3568–3574, 10.1109/JSEN.2013.2264459.
9. [9] Polastre, J., Hill, J., Culler, D., Versatile low power media access for wireless sensor networks. Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems SenSys ‘04, 2004, 95–107, 10.1145/1031495.1031508.
10. [10] Jurdak, R., Ruzzelli, A., O'Hare, G., Radio sleep mode optimization in wireless sensor networks. IEEE Trans. Mob. Comput. 9:7 (2010), 955–968, 10.1109/TMC.2010.35.
11. [11] Park, T.R., Lee, M.-J., Power saving algorithms for wireless sensor networks on IEEE 802.15.4. IEEE Commun. Mag. 46:6 (2008), 148–155, 10.1109/MCOM.2008.4539479.
12. [12] Arifuzzaman, M., Matsumoto, M., Sato, T., An intelligent hybrid MAC with traffic-differentiation-based QoS for wireless sensor networks. IEEE Sens. J 13:6 (2013), 2391–2399, 10.1109/JSEN.2013.2252163.
13. [13] Park, P., Ergen, S.C., Fischione, C., Sangiovanni Vincentelli, A., Duty-cycle optimization for IEEE 802.15.4 wireless sensor networks. ACM Trans. Sens. Netw. 10:1 (2013), 1–32, 10.1145/2529979.
14. [14] Oliveira, C., Ghamri-Doudane, Y., Lohier, S., A duty cycle self-adaptation algorithm for the 802.15.4 wireless sensor networks. Proc. of Global Information Infrastructure Symposium (GIIS), Trento, Italy, 2013, 1–7, 10.1109/GIIS.2013.6684349.
15. [15] Palattella, M., Accettura, N., Grieco, L., Boggia, G., Dohler, M., Engel, T., On optimal scheduling in duty-cycled industrial IoT applications using IEEE 802.15.4e TSCH. IEEE Sens. J 13:10 (2013), 3655–3666, 10.1109/JSEN.2013.2266417.
16. [16] Varga, L.O., Romaniello, G., Vucinic, M., Favre, M., Banciu, A., Guizzetti, R., Planat, C., Urard, P., Heusse, M., Rousseau, F., Alphand, O., Duble, E., Duda, A., Greennet: an energy-harvesting IP-enabled wireless sensor network. IEEE Internet Things J. 2:5 (2015), 412–426, 10.1109/JIOT.2015.2425431.
17. [17] Fafoutis, X., Mauro, A.D., Orfanidis, C., Dragoni, N., Energy-efficient medium access control for energy harvesting communications. IEEE Trans. Consum. Electron. 61:4 (2015), 402–410, 10.1109/TCE.2015.7389793.
18. [18] Chen, H., Li, Y., Rebelatto, J., Uchoa Filho, B., Vucetic, B., Harvest-then-cooperate: wireless-powered cooperative communications. IEEE Trans. Signal Process. 63:7 (2015), 1700–1711, 10.1109/TSP.2015.2396009.
19. [19] Wu, X., Parmar, M., Lee, D.W., A Seesaw-structured energy harvester with superwide bandwidth for TPMS application. IEEE/ASME Trans. Mechatron. 19:5 (2014), 1514–1522, 10.1109/TMECH.2013.2286637.
20. [20] Ibarra, E., Antonopoulos, A., Kartsakli, E., Rodrigues, J.J.P.C., Verikoukis, C., QoS-aware energy management in body sensor nodes powered by human energy harvesting. IEEE Sens. J. 16:2 (2016), 542–549, 10.1109/JSEN.2015.2483064.
21. [21] Beeby, S., White, N., Energy Harvesting for Autonomous Systems. 2010, Artech House.
22. [22] Wischke, M., Masur, M., Kroner, M., Woias, P., Vibration harvesting in traffic tunnels to power wireless sensor nodes. Smart Mater. Struct., 20(8), 2011, 10.1088/0964-1726/20/8/085014.
23. [23] Cafiso, S., Cuomo, M., Graziano, A.D., Vecchio, C., Experimental analysis for piezoelectric transducers applications into roads pavements. Adv. Mat. Res. 684:11 (2013), 253–257 doi: 10.4028/www.scientific.net/AMR.684.253.
24. [24] Jiang, X., Li, Y., Li, J., Wang, J., Yao, J., Piezoelectric energy harvesting from traffic-induced pavement vibrations. J. Renewable Sustainable Energy, 6(4), 2014 http://dx.doi.org/10.1063/1.4891169.
25. [25] Ozel, O., Tutuncuoglu, K., Ulukus, S., Yener, A., Fundamental limits of energy harvesting communications. IEEE Commun. Mag. 53:4 (2015), 126–132, 10.1109/MCOM.2015.7081085.
26. [26] Chen, X., Ni, W., Wang, X., Sun, Y., Provisioning quality-of-service to energy harvesting wireless communications. IEEE Commun. Mag. 53:4 (2015), 102–109, 10.1109/MCOM.2015.7081082.
27. [27] IEEE Draft Standard for Local and Metropolitan Area Networks Part 15.4: Low Rate Wireless Personal Area Networks (LR-WPANs) amendment to the MAC sub-layer, IEEE P802.15.4e/D6.0 (Revision of IEEE Std 802.15.4–2006) (2011) 1–200.
28. [28] Yang, O., Heinzelman, W., Modeling and performance analysis for duty-cycled MAC protocols with applications to S-MAC and X-MAC. IEEE Trans. Mob. Comput. 11:6 (2012), 905–921, 10.1109/TMC.2011.121.
29. [29] Jeon, J., Lee, J.W., Ha, J.Y., Kwon, W.H., DCA: Duty-cycle adaptation algorithm for IEEE 802.15.4 beacon-enabled networks. IEEE Vehicular Technology Conference Spring (VTC), 2007, 110–113, 10.1109/VETECS.2007.35.
30. [30] Lee, B.-H., Wu, H.-K., Study on a dynamic superframe adjustment algorithm for IEEE 802.15.4 LR-WPAN. IEEE Vehicular Technology Conference Spring (VTC2010), 2010, 1–5, 10.1109/VETECS.2010.5493884.
31. [31] Iannello, F., Simeone, O., Spagnolini, U., Medium access control protocols for wireless sensor networks with energy harvesting. IEEE Trans. Commun. 60:5 (2012), 1381–1389, 10.1109/TCOMM.2012.030712.110089.
32. [32] Le, T.N., Pegatoquet, A., Berder, O., Sentieys, O., Energy-efficient power manager and MAC protocol for multi-hop wireless sensor networks powered by periodic energy harvesting sources. IEEE Sens. J 15:12 (2015), 7208–7220, 10.1109/JSEN.2015.2472566.
33. [33] Aijaz, A., Ping, S., Akhavan, M.R., Aghvami, A.H., CRB-MAC: A receiver-based MAC protocol for cognitive radio equipped smart grid sensor networks. IEEE Sens. J 14:12 (2014), 4325–4333, 10.1109/JSEN.2014.2346430.
34. [34] Eu, Z.A., Tan, H.P., Probabilistic polling for multi-hop energy harvesting wireless sensor networks. Proc. of IEEE International Conference on Communications (ICC), 2012, 271–275, 10.1109/ICC.2012.6363641.
35. [35] Mekikis, P.V., Antonopoulos, A., Kartsakli, E., Lalos, A.S., Alonso, L., Verikoukis, C., Information exchange in randomly deployed dense WSNs with wireless energy harvesting capabilities. IEEE Trans. Wireless Commun. 15:4 (2016), 3008–3018, 10.1109/TWC.2016.2514419.
36. [36] Naderi, M.Y., Nintanavongsa, P., Chowdhury, K.R., RF-MAC: A medium access control protocol for re-chargeable sensor networks powered by wireless energy harvesting. IEEE Trans. Wireless Commun. 13:7 (2014), 3926–3937, 10.1109/TWC.2014.2315211.
37. [37] Khan, M.S.I., Mišic, J., Mišic, V.B., Impact of network load on the performance of a polling mac with wireless recharging of nodes. IEEE Trans. Emerg. Top. Comput. 3:3 (2015), 307–316, 10.1109/TETC.2015.2398198.
38. [38] Lu, X., Wang, P., Niyato, D., Kim, D.I., Han, Z., Wireless networks with RF energy harvesting: a contemporary survey., 17(2), 2015, 757–789, 10.1109/COMST.2014.2368999.
39. [39] Nozaki, H., Effect of the front and rear weight distribution ratio of a formula car during maximum-speed cornering on a circuit. Int. J. Automot. Technol. 9:3 (2008), 307–315, 10.1007/s12239-008-0037-2.
40. [40] Pacejka, H.B., Besselink, I., Tire and Vehicle Dynamics, third ed. 2012, Elsevier Ltd.
41. [41] Dutoit, N.E., Wardle, B.L., Performance of microfabricated piezoelectric vibration energy harvesters. Integr. Ferroelectr. 83:1 (2006), 13–32, 10.1080/10584580600949048.
42. [42] Erturk, A., Inman, D.J., Introduction to Piezoelectric Energy Harvesting. 2011, John Wiley & Sons, Ltd.
43. [43] Yang, S.-H., Wireless Sensor Networks: Principles, Design and Applications. 2014, Springer-Verlag London.
44. [44] Lu, Z., Yang, H., Unlocking the Power of OPNET Modeler. 2012, Cambridge University Press.