A. Gubbi, R. Buyya, S. Marusic and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, Sep. 2013.
F. Al-Turjman, “Smart-cities Medium Access for Smart Mobility Applications in IoT”, Wiley Transactions on Emerging Telecommunications Technologies, Aug. 2019. DOI. 10.1002/ett.3723.
M. A. Naeem, R. Ali, B.-S. Kim, S. A. Nor, S. Hassan, "A periodic caching strategy solution for the smart city in information-centric Internet of Things", Sustainability, vol. 10, no. 7, pp. 2576, 2018.
F. Al-Turjman, “A Rational Data Delivery Framework for Disaster-inspired Internet of Nano-Things (IoNT) in Practice”, Springer Cluster Computing, vol. 22, no. 1, pp. 1751–1763, Nov. 2017.
I. Yaqoob et al., “Internet of Things architecture: Recent advances, taxonomy, requirements, and open challenges,” IEEE Wireless Communications, vol. 24, no. 3, pp. 10–16, Jun. 2017.
A. Musaddiq, Y. B. Zikria, O. Hahm, H. Yu, A. K. Bashir, and S. W. Kim, “A survey on resource management in IoT operating systems,” IEEE Access, vol. 6, pp. 8459–8482, Feb. 2018.
N. A. Pantazis, S. A. Nikolidakis and D. D. Vergados, “Energy-efficient routing protocols in wireless sensor networks: A survey,” IEEE Communications Surveys & Tutorials, vol. 15, no. 2, pp. 551–591, Second Quarter. 2013.
Tymo source code repository. Tymo: DYMO implementation for TinyOS, December 2007. (Accessed on 20/11/2019). [Online] Available: http://tymo.sourceforge.net.
K. Kim, S. Yoo, J. Park, S.D. Park, J. Lee, Hierarchical Routing over 6LoWPAN (HiLow), IETF: Internet Draft: draft-deniel-6lowpan- hilow-hierarchical-routing-00.txt, vol. 38, December 2005.
K. Kim, S. Daniel Park, G. Montenegro, S. Yoo, N. Kushalnagar, 6LoWPAN Ad Hoc On-Demand Distance Vector Routing (LOAD), IETF Internet Draft: draft-daniel-6lowpan-load-adhoc-routing-03, 2007.
K. Kim, S. Park, I. Chakeres, C. Perkins, Dynamic MANET On-demand for 6LoWPAN (DYMO-low) Routing, Internet Draft: draft- montenegro-6lowpan-dymo-low-routing-03, June 2007.
O. Gnawali, R. Fonseca, K. Jamieson, D. Moss, P. Levis, Collection tree protocol, in Proc. 7th ACM Conference on Embedded Networked Sensor Systems (SenSys), Berkeley, CA, USA, Nov. 2009, pp. 1–14.
A. Tavakoli, HYDRO: A Hybrid Routing Protocol for Lossy and Low Power Networks, IETF Internet Draft: draft-tavakoli-hydro-01, Sept 2009.
RPL: IPv6 routing protocol for low-power and lossy networks. (Accessed on 20/11/2019). [Online] Available: https://tools.ietf.org/html/rfc6550 .
O. Gaddour, A. Koubâa, "RPL in a nutshell: A survey", Computer Networks, vol. 56, no. 14, pp. 3163–3178, Sep. 2012.
L. D. Xu, W. He and S. Li, “Internet of Things in industries: A survey,” IEEE Transactions on Industrial Informatics, vol. 10, no. 4, pp. 2233–2243, Nov. 2014.
D. Miorandi, S. Sicari, F. De Pellegrini, and I. Chlamtac, “Internet of things: Vision, applications and research challenges,” Ad Hoc Network, vol. 10, no. 7, pp. 1497–1516, Sep. 2012.
Cisco, “Connected Grid Networks for Smart Grid - Field Area Network”. (Accessed on 20/11/2019). [Online] Available: http://www.cisco.com/c/en/us/solutions/ industries/energy/external-utilities-smart-grid/field-area-network.html.
P. Thubert, “Objective Function Zero for RPL,” RFC 6552, vol. 33, pp. 3–8, 2012.
O. Gnawali and P. Levis, “The Minimum Rank with Hysteresis Objective Function”, RFC 6719 (Proposed Standard), Internet Engineering Task Force, Sep. 2012. (Accessed on 20/11/2019). [Online] Available: http://www.ietf.org/rfc/rfc6719.txt.
P. O. Kamgueu, E. Nataf, T. D. Ndié, O. Festor, “Energy-Based Routing Metric for RPL”, INRIA, Roquecourbe, France, 2013.
H.-S. Kim, H. Kim, J. Paek, and S. Bahk, “Load balancing under heavy traffic in rpl routing protocol for low power and lossy networks,” IEEE Transaction on Mobile Computing, vol. 16, no. 4, Apr. 2017.
M. Palattella et al., “Standardized protocol stack for the Internet of (important) Things,” IEEE Communication Surveys Tutorials., vol. 15, no. 3, pp. 1389–1406, Third Quarter 2013.
Contiki netstack. (Accessed on 20/11/2019). [Online] Available: http://anrg.usc.edu/contiki/index.php/Network_Stack.
R. Ali, N. Shahin, Y. B. Zikria, B. Kim, and S. W. Kim, “Deep reinforcement learning paradigm for performance optimization of channel observation–based MAC protocols in dense WLANs,“ IEEE Access, vol. 7, no. 1, pp. 3500-3511, Jan. 2019.
A. Dunkels, “The ContikiMAC Radio Duty Cycling Protocol,” Technical Report, SICS, 2011.
M. Buettner, G. V. Yee, E. Anderson, R. Han, “X-MAC: A Short Preamble MAC Protocol for Duty-cycled Wireless Sensor Networks”, Proc. 4th International Conference on Embedded Networked Sensor Systems, Boulder, CO, USA, pp. 307–320, Nov. 2006.
Contiki: The Open Source Operating System for the Internet of Things. (Accessed on 20/11/2019). [Online] Available: http://www.contiki-os.org/.
K. Bhandari, A. S. M. S. Hosen, G. H. Cho, “CoAR: Congestion-Aware Routing Protocol for Low Power and Lossy Networks for IoT Applications”. Sensors, vol. 18, no. 11, 3838, Nov. 2018.
C. L. Hwang, K. Yoon, “Methods for Multiple Attribute Decision Making”, Springer: Berlin/Heidelberg, Germany, 1981; pp. 58–191.
W. Tang, X. Ma, J. Huang, J. Wei, “Toward improved RPL: A congestion avoidance multipath routing protocol with time factor for wireless sensor networks”, Hindawi Journal of Sensors, vol. 2016, Jun. 2016.
S. Taghizadeh, H. Bobarshad and H. Elbiaze, “CLRPL: Context-Aware and Load Balancing RPL for Iot Networks Under Heavy and Highly Dynamic Load,” IEEE Access, vol. 6, pp. 23277–23291, Apr. 2018.
P. Di Marco, C. Fischione, G. Athanasiou and P. Mekikis, “MAC-aware routing metrics for low power and lossy networks,” 2013 Proceedings IEEE INFOCOM, Turin, Italy, 2013, pp. 13–14.
P. Sanmartin, A. Rojas, L. Fernandez, K. Avila, D. Jabba, S. Valle, “Sigma Routing Metric for RPL Protocol”, Sensors, vol. 18, no. 4, pp. 1277, Apr. 2018.
S. Yang, Y. Baek, J. Kim, K. Cho, K. Han, “A routing metric for load balance in wireless mesh networks”. In Proc. of the International Conference on Advanced Communication Technology (ICACT), Phoenix Park, Korea, 15–18 Feb. 2009, pp. 1560–1565.
T. B. Oliveira, P. H. Gomes, D. G. Gomes, B. Krishnamachari, “ALABAMO: A LoAd BAlancing MOdel for RPL”, in Proc. Brazilian symposium on computer networks and distributed systems (SBRC), pp. 644–657, Jun. 2016.
Xinxin Liu, Jianlin Guo, G. Bhatti, P. Orlik and K. Parsons, “Load balanced routing for low power and lossy networks,” IEEE Wireless Communications and Networking Conference (WCNC), Shanghai, China, 2013, pp. 2238–2243.
O. Banimelhem, S. Khasawneh, “GMCAR: Grid-based multipath with congestion avoidance routing protocol in wireless sensor networks”, Ad Hoc Network, vol. 10, no. 7, pp. 1346–1361, Sep. 2012.
M. Conti, E. Gregori, G. Maselli, “Reliable and Efficient Forwarding in Ad Hoc Networks”, Ad Hoc Networks, vol. 4, pp. 398–415, 2006.
L. Reddy, S. Raghavan, “SMORT: Scalable multipath on-demand routing for mobile ad hoc networks”, Ad Hoc Networks, vol. 5, no. 2, pp. 162–188, Mar. 2007.
O. Iova, F. Theoleyre and T. Noel, “Improving the network lifetime with energy-balancing routing: Application to RPL,” 7th IFIP Wireless and Mobile Networking Conference (WMNC), Vilamoura, Portugal, 2014, pp. 1–8.
P. Kamgueu et al, “Energy-Based Routing Metric for RPL,” Research Report RR-8208, INRIA, 2013.
M. Zhao, G. G. M. N. Ali, R. Lu and P. H. J. Chong, “An Energy-Efficient and Self-Reasoning-Based RPL for Low-Power and Lossy Networks,” IEEE 84th Vehicular Technology Conference (VTC-Fall), Montreal, QC, Canada, 2016, pp. 1–6.
N. Sousa, J. V. V. Sobral, J. J. P. C. Rodrigues, R. A. L. Rabêlo and P. Solic, “ERAOF: A new RPL protocol objective function for Internet of Things applications,” 2nd International Multidisciplinary Conference on Computer and Energy Science (SpliTech), Split, Croatia, 2017, pp. 1–5.
A. Barbato, M. Barrano, A. Capone, N. Figiani, “Resource oriented and energy efficient routing protocol for IPv6 wireless sensor networks,” In Proc. of the IEEE Online Conference on Green Communications, Piscataway, NJ, USA, 29–31 Oct. 2013.
Y. Chen, J. Chanet, K. Hou, H. Shi, G. Sousa, “A Scalable Context-Aware Objective Function (SCAOF) of Routing Protocol for Agricultural Low-Power and Lossy Networks (RPAL)”. Sensors, 2015, 15, 19507–19540.
O. Gaddour, K. Anis, B. Nauha, and A. Mohamed, “OF-FL: QoS-aware fuzzy logic objective function for the RPL routing protocol,” In Proc. International Symposium on Modelling and Optimization in Mobile, Ad Hoc, and Wireless Networks, pp. 365–372, 2014.
P. O. Kamgueu, N. Emmanuel, and N. D. Thomas, “On design and deployment of fuzzy- based metric for routing in low-power and lossy networks”, In Proc. International conf. on Local Computer Networks Conference Works, pp. 789–795, 2015.
W. Khallef, M. Molnar, A. Benslimane and S. Durand, “Multiple constrained QoS routing with RPL,” IEEE International Conference on Communications (ICC), Paris, France, 2017, pp. 1–6.
H. Yoo, M. Shim, D. Kim and K. H. Kim, “GLOBAL: A Gradient-based routing protocol for load-balancing in large-scale wireless sensor networks with multiple sinks,” The IEEE symposium on Computers and Communications, Riccione, Italy, 2010, pp. 556–562.
E. Rezaei, “Energy efficient rpl routing protocol in smart buildings,” Jun. 2014.
A. Barbato, M. Barrano, A. Capone, and N. Figiani, “Resource oriented and energy efficient routing protocol for ipv6 wireless sensor networks,” in Proc. IEEE GreenCom, 2013, pp. 163–168.
A. Brachman, “RPL objective function impact on LLNs topology and performance,” in Proc. Internet of Things, Smart Spaces, and Next Generation Networking, S. Balandin, S. Andreev, and Y. Koucheryavy, eds. Berlin, Germany: Springer, 2013, vol. 8121, pp. 340–351.
M. Z. Hasan, F. Al-Turjman, “SWARM-based data delivery in Social Internet of Things", Elsevier Future Generation Computer Systems, vol. 92, no. 1, pp. 821-836, Mar. 2019.
M. D. Silva, E. L. F. Senne, N. L. Vijaykumar, “An optimization model to minimize the expected end-to-end transmission time in wireless mesh networks,” Pesquisa Operacional, 2017, 37, 209–227.
Zolertia Z1 mote. (Accessed on 05/13/2019). [Online] Available: https://github.com/Zolertia/Resources/wiki/The-Z1-mote.
P. Levis, N. Patel, D. Culler, and S. Shenker, “Trickle: A self-regulating algorithm for code propagation and maintenance in wireless sensor networks,” in Proc. 1st USENIX/ACM Symp. NSDI, 2004, pp. 15–28.
P. Levis, T. Clausen, J. Hui, O. Gnawali, and J. Ko, “The Trickle algorithm,” RFC 6206, Internet Engineering Task Force (IETF), 2011.
A. Musaddiq, Y. B. Zikria and S. W. Kim, “Energy-Aware Adaptive Trickle Timer Algorithm for RPL-based Routing in the Internet of Things,” 2018 28th International Telecommunication Networks and Applications Conference (ITNAC), Sydney, NSW, 2018, pp. 1–6.
B. Djamaa, M. Richardson, "Optimizing the Trickle Algorithm", IEEE Communications Letters, vol. 19, no. 5, pp. 819-822, May. 2015.
F. Al-Turjman, H. Zahmatkesh and L. Mostarda, "Quantifying Uncertainty in Internet of Medical Things and Big-Data Services Using Intelligence and Deep Learning", IEEE Access, vol. 7, no. 1, pp. 115749-115759, Jul. 2019.
R. Ali, Y. A. Qadri, Y. B. Zikria, T. Umer, B. Kim, and S. W. Kim, , "Q-learning-enabled channel access in next-generation dense wireless networks for IoT-based eHealth systems," EURASIP Journal on Wireless Communications and Networking, vol. 2019(178), pp. 1-12, Jul. 2019.
F. Al-Turjman, A. Malekoo, "Smart Parking in IoT-enabled Cities: A Survey", Elsevier Sustainable Cities and Societies, vol. 49, pp. 101608, Aug. 2019.
Z1 Datasheet. (Accessed on 20/11/2019). [Online] Available: http://zolertia.sourceforge.net/wiki/images/e/e8/Z1_RevC_Datash eet.pdf.
Tmote Sky Datasheet. (Accessed on 20/11/2019). [Online] Available: http://www.crew-project.eu/sites/default/files/tmote-sky-datasheet.pdf.