Abstract
Body Area Networks (BANs) expect to exploit IEEE802.15.4-2015-TSCH, proposing an efficient MAC layer for wireless industrial sensor networks. The standard relies on techniques such as channel hopping and bandwidth reservation to ensure both energy savings and reliable transmissions. With the expected growth of the BAN usage, we must now consider dense topologies, and interference. In this paper, we propose a rescheduling algorithm to avoid the collisions among the Enhanced Beacons (EB): each coordinator is able to adapt distributively its transmission to avoid interference. Indeed, EB losses impact negatively the performance of a BAN. We also optimized conjointly the neighbor discovery mechanism since a multichannel MAC would else increase too much the discovery delay. Our simulations validate the relevance of our discovery and scheduling mechanisms to cope with a very dense deployment of interfering BANs.
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References
IEEE Standard for Local, metropolitan area networks-Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs) Amendment 1: MAC sublayer. IEEE Std 802.15.4e-2015 (2015)
Pietiläinen, A.-K., et al.: Mobiclique: middleware for mobile social networking. In: ACM Workshop on Online Social Networks, pp. 49–54 (2009)
Palattella, M.R., et al.: On optimal scheduling in duty-cycled industrial IoT applications using IEEE802.15.4e TSCH. Sens. J. IEEE 13(10), 3655–3666 (2013)
Accettura, N., et al.: Decentralized traffic aware scheduling for multi-hop low power lossy networks in the internet of things. In: IEEE WoWMoM (2013)
McGlynn, M.J., Borbash, S.A.: Birthday protocols for low energy deployment and flexible neighbor discovery in ad hoc wireless networks. In: Proceedings of the 2nd ACM International Symposium on Mobile Ad Hoc Networking & Computing, pp. 137–145. ACM (2001)
Drula, C., Amza, C., Rousseau, F., Duda, A.: Adaptive energy conserving algorithms for neighbor discovery in opportunistic bluetooth networks. IEEE J. Sel. Areas Commun. 25(1), 96–107 (2007)
DaSilva, L.A., et al.: Sequence-based rendezvous for dynamic spectrum access. In: New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 1–7. IEEE (2008)
Chen, L., et al.: Group-based discovery in low-duty-cycle mobile sensor networks. In: IEEE SECON, pp. 542–550. IEEE (2012)
De Nardis, L., et al.: Role of neighbour discovery in distributed learning and knowledge sharing algorithms for cognitive wireless networks. In: ISWCS, pp. 421–425. IEEE (2012)
Karowski, N., et al.: Optimized asynchronous multi-channel neighbor discovery. In: IEEE INFOCOM, April 2011
Karowski, N., et al.: Optimized asynchronous multichannel discovery of IEEE 802.15. 4-based wireless personal area networks. IEEE Trans. Mob. Comput. 12(10), 1972–1985 (2013)
Lipa, N., Mannes, E., Santos, A., Nogueira, M.: Firefly-inspired and robust time synchronization for cognitive radio ad hoc networks. Comput. Commun. 66, 36–44 (2015)
Trevisan, L.: Inapproximability of combinatorial optimization problems. The Computing Research Repository (2004)
Mathis, F.H.: A generalized birthday problem. SIAM Rev. 33(2), 265–270 (1991)
Borodin, A., et al.: A time-space tradeoff for sorting on a general sequential model of computation. In: ACM Symposium on Theory of Computing. ACM (1980)
Acknowledgment
This research was supported by NSF of China under grant No. 61100210 and China 863 No. 2015AA015802 and by the French National Research Agency (ANR) project IRIS under contract ANR-11-INFR-016.
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Zou, M., Lu, JL., Yang, F., Malaspina, M., Theoleyre, F., Wu, MY. (2016). Distributed Scheduling of Enhanced Beacons for IEEE802.15.4-TSCH Body Area Networks. In: Mitton, N., Loscri, V., Mouradian, A. (eds) Ad-hoc, Mobile, and Wireless Networks. ADHOC-NOW 2016. Lecture Notes in Computer Science(), vol 9724. Springer, Cham. https://doi.org/10.1007/978-3-319-40509-4_1
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DOI: https://doi.org/10.1007/978-3-319-40509-4_1
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