Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Wireless Networks
Published in: Wireless Networks 2/2017

04-01-2016

Efficient topology construction and routing for IEEE 802.15.4m-based smart grid networks

Authors: Jaebeom Kim, Jina Han, Zeeshan Hameed Mir, Young-Bae Ko

Published in: Wireless Networks | Issue 2/2017

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

IEEE 802.15.4m TVWS Multi-Channel Tree PAN (TMCTP) standard that uses the vacant TV frequency of a region is the key to provide a flexible, scalable and cost-effective AMI smart grid networks. However, the performance of the IEEE 802.15.4m based AMI network can suffer from network interruption, varying transmission reliability and energy consumption problems due to the excessive number of channels and periodic channel scanning. To resolve these issues, we presented an enhanced IEEE 802.15.4m TMCTP called TVWS Orphan channel scanning with Multi-Channel Tree PAN Routing (TOMTPR). The proposed TOMTPR framework includes pilot-channel based Multi-Channel beaconing and interleaving-based TVWS orphan channel scanning. Furthermore, a capacity-aware routing tree is constructed during the neighbor discovery procedure. The proposed protocol suite is designed to provide compatibility with the IEEE 802.15.4 family standards with lower architecture complexity. The simulation results in presence of realistic AMI traffic and AMI network model show that TOMTPR can not only satisfy delay requirements of the AMI traffic, but also outperforms IEEE 802.15.4m TMCTP with IEEE 802.15.5 layer 2 mesh routing in terms of topology construction delay, end-to-end transmission reliability, and energy efficiency.
previous article Capacity in fading environment based on soft sensing information under spectrum sharing constraints
next article Shared relay assignment in cooperative communications for bandwidth maximization

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Literature
1.
Son, S., & Chung, B. (2009). A korean smart grid architecture design for a field test based on power IT. In IEEE PES T&D: Asia and Pacific, Seoul, Korea.
2.
OECD (2009). Towards green ICT strategies: Accessing policies and programmers on ICT and the environment. OECD Digital Economy Papers.
3.
Bryson, J., & Gallagher, P. (2012). NIST framework and roadmap for smart grid interoperability standards, release 2.0. National Institute of Standards and Technology (NIST), Tech. Rep. NIST Special Publication 1108R2.
4.
Erol-Kantarci, M., & Mouftah, H. (2011). Wireless sensor networks for smart grid applications. In IEEE SIECPC, Riyadh, Saudi Arabia.
5.
Gungor, V., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., & Hancke, G. (2011). Smart grid technologies: Communication technologies and standards. IEEE Transactions on Industrial Informatics, 7(4), 629–639.CrossRef
6.
Kim, J., Kim, D., Lim, K., Ko, Y., & Lee, S. (2012). Improving the reliability of IEEE 802.11s based wireless mesh networks for smart grid systems. Journal of Communications and Networks KICS, 14(6), 629–639.
7.
Yu, R., Zhang, Y., Gjessing, S., Yuen, C., Xie, S., & Guizani, M. (2011). Cognitive radio based hierarchical communications infrastructure for smart grid. Network, IEEE, 25(5), 6–14.CrossRef
8.
Luan, W., Sharp, D., & Lancashire, S. (2010). Smart grid communication network capacity planning for power utilities. In IEEE PES, New Orleans, USA.
9.
Sheng, Z. et al. (2013). A survey on the IETF protocol suite for the internet of things: Standards, challenges, and opportunities. IEEE Wireless Communications 20(6), 91–98.CrossRef
10.
Noguet, D., Gautier, M., & Berg, V. (2011). Advances in opportunistic radio technologies for TVWS. EURASIP Journal on Wireless Communications and Networking, 2011(1), 1–12.CrossRef
11.
Sum, C., Lu, L., Zhou, M., Kojima, F., & Harada, H. (2013). Design considerations of IEEE 802.15. 4 m low-rate WPAN in TV white space. Communications Magazine, IEEE, 51(4), 74–82.CrossRef
12.
Ruofei, M., Chen, H., Huang, Y., & Meng, W. (2013). Smart grid communication: Its challenges and opportunities. IEEE Transactions on Smart Grid, 4(1), 36–46.CrossRef
13.
Zhang, Y., Yu, R., Nekovee, M., Liu, Y., Xie, S., & Gjessing, S. (2012). Cognitive machine-to-machine communications: Visions and potentials for the smart grid. Network, IEEE, 26(3), 6–13.CrossRef
14.
802.15.4m, I. S. (2014). IEEE standard for local and metropolitan area networks—Part 15.4: Low-rate wireless personal area networks (LR-WPANs)—amendment 6: TV white space between 54 MHz and 862 MHz physical layer.
15.
Sum, C., Zhou, M., Lu, L., Funada, R., Kojima, F., & Harada, H. (2012). IEEE 802.15. 4 m: The first low rate wireless personal area networks operating in TV white space. In IEEE ICON, Singapore, Singapore.
16.
Romaniello, G., Potetsianakis, E., Alphand, O., Guizzetti, R., & Duda, A. (2013). Fast and energy-efficient topology construction in multi-hop Multi-Channel 802.15.4 networks. In IEEE WiMob, Lyon, France.
17.
Karowski, N., Viana, A., & Wolisz, A. (2011). Optimized asynchronous multi-channel neighbor discovery. In IEEE INFOCOM, Shanghai, China.
18.
Herberg, U., & Clausen, T. (2011). A comparative performance study of the routing protocols LOAD and RPL with bi-directional traffic in low-power and lossy networks. In ACM PE-WASUN, New York, USA.
19.
Popa, D., Jetcheva, J., Dejean, N., Salazar, R., Hui, J., & Monden, K. (2013). Applicability statement for the routing protocol for low power and lossy networks (RPL) in AMI networks. Internet Draft.
20.
Lee, M., Zhang, R., Zheng, J., Ahn, G., Zhu, C., Park, T., et al. (2010). IEEE 802.15.5 WPAN mesh standard-low rate part: Meshing the wireless sensor networks. IEEE Journal on Selected Areas in Communications, 28(7), 973–983.
21.
Sauter, T., & Lobashov, M. (2011). End-to-end communication architecture for smart grids. IEEE Transactions on Industrial Electronics, 58(4), 1218–1228.CrossRef
22.
Merlin, S., Vaidya N., & Zorzi, M. (2008). Resource allocation in multi-radio Multi-Channel multi-hop wireless networks. In IEEE INFOCOM, Phoenix, USA.
23.
Chilamkurti, N. et al. (2009). Cross-layer support for energy efficient routing in wireless sensor networks. Journal of Sensors.
24.
Zhang, X. M., et al. (2015). Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. IEEE Transactions on Mobile Computing, 14(4), 742–754.CrossRef
25.
Meng, T. et al. (2015). Spatial reusability-aware routing in multi-hop wireless networks. IEEE Transactions on Computers, 65(1), 244–255.MathSciNetCrossRef
26.
Yao, Y., Cao, Q., & Vasilakos, A. V. (2013). EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for wireless sensor networks. In MASS, Hangzhou, 14–16 Oct. 2013, pp. 182–190. doi:10.​1109/​MASS.​2013.​44.
27.
Yao, Y., Cao, Q., & Vasilakos, A. V. (2015). EDAL: an energy-efficient, delay-aware, and lifetime-balancing data collection protocol for heterogeneous wireless sensor networks. IEEE/ACM Transactions on Networking, 23(3), 810–823.CrossRef
28.
Liu, X. Y., Zhu, Y., Kong, L., Liu, C., Gu, Y., Vasilakos, A. V., et al. (2015). CDC: Compressive data collection for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 26(8), 2188–2197.CrossRef
29.
Song, Y., Liu, L., Ma, H., & Vasilakos, A. V. (2014). A biology-based algorithm to minimal exposure problem of wireless sensor networks. IEEE Transactions on Network and Service Management, 11(3), 417–430.CrossRef
30.
Liu, Y., Xiong, N., Zhao, Y., Vasilakos, A. V., Gao, J., & Jia, Y. (2010). Multi-layer clustering routing algorithm for wireless vehicular sensor networks. IET Communications, 4(7), 810–816.CrossRef
31.
Busch, C., Kannan, R., & Vasilakos, A. V. (2012). Approximating congestion + dilation in networks via “quality of routing. IEEE Transactions on Computers, 61(9), 1270–1283.MathSciNetCrossRef
32.
Li, P., Guo, S., Yu, S., & Vasilakos, A. V. (2014). Reliable multicast with pipelined network coding using opportunistic feeding and routing. IEEE Transactions on Parallel and Distributed Systems, 25(12), 3264–3273.CrossRef
33.
Dvir, A., & Vasilakos, A. V. (2011). Backpressure-based routing protocol for DTNs. ACM SIGCOMM Computer Communication Review, 41(4), 405–406.
34.
Vilajosana, X., Tuset-Peiro, P., Vazquez-Gallego, F., Alonso-Zarate, J., & Alonso, L. (2014). standardized low-power wireless communication technologies for distributed sensing applications. Sensors, 14(2), 2663–2682.CrossRef
35.
Cuomo, F., & Abbagnale, A. (2013). Cross-layer network formation for energy-efficient IEEE 802.15. 4/ZigBee wireless sensor networks. Ad Hoc Networks, 11(2), 672–686.CrossRef
36.
37.
Hossain, K., & Champagne, B. (2011). Wideband spectrum sensing for cognitive radios with correlated subband occupancy. IEEE on Signal Processing Letters, 18(1), 35–38.CrossRef
38.
Chan, A., Zeng, K., Mohapatra, P., & Lee, S. (2010). Metrics for evaluating video streaming quality in lossy IEEE 802.11 wireless networks. In IEEE INFOCOM, San diego, USA.
39.
Kaabi, F., Ghannay, S., & Filali, F. (2010). Channel allocation and routing in wireless mesh networks: A survey and qualitative comparison between schemes. International Journal of Wireless and Mobile Network, 2(1), 132–151.
40.
41.
Mohassel, R., Fung, A., Mohammadi, F., & Raahemifar, K. (2014). A survey on advanced metering infrastructure. International Journal of Electrical Power & Energy Systems, 63, 473–484.CrossRef
42.
Kim, J., Han, J., Ko, Y-B., & Filali, F. (2015). Interleaving-based orphan channel scanning for the IEEE 802.15.4m in TVWS Smart Grid Networks. In IEEE ICUFN, Sapprro, Japan.
Metadata
Title
Efficient topology construction and routing for IEEE 802.15.4m-based smart grid networks
Authors
Jaebeom Kim
Jina Han
Zeeshan Hameed Mir
Young-Bae Ko
Publication date
04-01-2016
Publisher
Springer US
Published in
Wireless Networks / Issue 2/2017
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-015-1164-0

Other articles of this Issue 2/2017

Wireless Networks 2/2017 Go to the issue

OriginalPaper

A path selection based routing protocol for urban vehicular ad hoc network (UVAN) environment

OriginalPaper

Energy-efficient placement and sleep control of relay nodes in heterogeneous small cell networks

OriginalPaper

Energy and delay efficient dynamic cluster formation using hybrid AGA with FACO in EAACK MANETs

OriginalPaper

Efficiency measure of routing protocols in vehicular ad hoc network using freeway mobility model

OriginalPaper

Analysis of eavesdropping attack in mmWave-based WPANs with directional antennas

OriginalPaper

Secure way routing protocol for mobile ad hoc network