Abstract
The internet of things (IoT) is considered to be the next big challenge for the Internet research community. Recently, the IoT has drawn significant research attention [1]. The IoT will comprise of billions of communicating devices, which extend the borders of the cyber world with physical entities and virtual components [2, 3]. These things, such as wireless sensor nodes, radio-frequency identification (RFID) tags and near-field communication (NFC) devices, are connected to the Internet with the ability to sense status and use real-time data. Also, they access historical data and developed algorithms, possibly triggering devices. This is leading to very powerful smart environments, e.g. building, health care, etc. [1, 4].
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References
Shelby Z, Bormann C (2009) 6LoWPAN: The wireless embedded internet. Wiley, New Jersey
Li S, Da Xu L, Zhao S (2015) The Internet of things: a survey. Inf Syst Front 17(2):243–259
Atzori L, Iera A, Morabito G (2010) The Internet of things: a survey. Comput Netw 54(15):2787–2805
Alcaraz C, Najera P, Lopez J, Roman R (2010) Wireless sensor networks and the internet of things: do we need a complete integration? In: Proceedings of 1st international workshop on the security of the internet of things (SecIoT’10), Tokyo (Japan), 29th November, 2010
Khalil N, Abid MR, Benhaddou D, Gerndt M (2014) Wireless sensors networks for internet of things. In: Proceedings of IEEE 9th international conference on intelligent sensors, sensor networks and information processing (ISSNIP). IEEE (2014), pp 1–6
Ghaffari A (2015) Congestion control mechanisms in wireless sensor networks: a survey. J Netw Comput Appl 52:101–115
Kafi MA, Djenouri D, Ben-Othman J, Badache N (2014) Congestion control protocols in wireless sensor networks: a survey. IEEE Commun Surv Tutor 16(3):1369–1390
Michopoulos V, Guan L, Oikonomou G, Phillips I (2011) A comparative study of congestion control algorithms in IPv6 wireless sensor networks. In: Proceedings of international conference on distributed computing in sensor systems and workshops (DCOSS). IEEE (2011), pp 1–6
Shelby Z, Hartke K, Bormann C (2014) The constrained application protocol (CoAP). In: IETF RFC 7252 (2014)
Tanenbaum AS, Wetherall DJ (2013) Computer networks: Pearson New, international edn. University of Hertfordshire, Pearson Higher Education
Gomez C, Kim E, Kaspar D, Bormann C (2012) Problem statement and requirements for IPv6 over low-power wireless personal area network (6LoWPAN) routing. In: IETF RFC 6606
Chowdhury AH, Ikram M, Cha H-S, Redwan H, Shams S, Kim K-H, Yoo S-W (2009) Route-over vs mesh-under routing in 6LoWPAN. In: Proceedings of the international conference on wireless communications and mobile computing: connecting the world wirelessly. ACM, pp 1208–1212
Yoo S, Lee J, Mulligan G (2007) Hierarchical routing over 6LoWPAN (HiLow), draft-daniel-6lowpan-hilow-hierarchical-routing-01. IETF network working group, Technical report, Internet-Draft
Kim K, Park SD, Montenegro G, Yoo S, Kushalnagar N (2007) 6LoWPAN Ad Hoc on-demand distance vector routing (LOAD). In: Internet Draft, draft-daniel-6lowpan-load-adhoc-routing-03, IETF
Kim K, Montenegro G, Park S, Chakeres I, Perkins C (2007) Dynamic MANET on-demand for 6LoWPAN (DYMO-low) routing. IETF, Internet-Draft
Winter T, Thubert P, Brandt A, Hui J, Kelsey R (2012) RPL: IPv6 routing protocol for low-power and lossy networks. In: IETF, RFC 6550
Tsvetkov T (2011) RPL: IPv6 routing protocol for low power and lossy networks. In: Sensor nodes–operation, network and application (SN), vol 59, p 2
Gaddour O, Koubâa A, Baccour N, Abid M (2014) OF-FL: QoS-aware fuzzy logic objective function for the RPL routing protocol. In: Proceedings of 12th international symposium on modeling and optimization in mobile, ad hoc, and wireless networks (WiOpt). IEEE, pp 365–372
Zhang T, Li X (2014) Evaluating and analyzing the performance of RPL in Contiki. In: Proceedings of the 1st international workshop on mobile sensing, computing and communication. ACM, pp 19–24
Levis P, Clausen T, Hui J, Gnawali O, Ko J (2011) The trickle algorithm. In: Internet engineering task force, RFC 6206
Hui J, Thubert P (2011) Compression format for IPv6 datagrams over IEEE 802.15. 4-based networks. In: IETF RFC 6282
Montenegro G, Kushalnagar N, Hui J, Culler D (2007) Transmission of IPv6 packets over IEEE 802.15.4 networks. In: IETF RFC 4944
Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) (2003) Specifications for low-rate wireless personal area aetworks (LR-WPANs). IEEE Standard 802(15):4
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Al-Kashoash, H. (2020). Introduction. In: Congestion Control for 6LoWPAN Wireless Sensor Networks: Toward the Internet of Things. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-030-17732-4_1
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DOI: https://doi.org/10.1007/978-3-030-17732-4_1
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