NEW ADAPTIVE REBROADCASTING USING NEIGHBOUR LEARNING FOR WIRELESS NANOSENSOR NETWORKS
Keywords:Wireless Nanosensors Networks, Nanonetworks, Nanocommunication, Protocols, Routing
Wirelesse Nanosensor Networks (WNSNs) contain a large number of independent and mobile nanodevices assembled with nanotransceivers and nanoantennas to work in Terahertz frequency band (0.1-10THz). These nanodevices exploit the properties of modern nanomaterials to recognize new varieties of events at the nanoscale, such as the presence of harmful viruses or bacteria and the detection of low concentrations of chemical and harmful gas molecules. Communication between nanonodes can be established by using molecular or electromagnetic communication approaches. One of the major problems of wireless nanosensor networks is the limited resources of nanodevices (e.g., computation, memory and power). On the other hand, such limited capacity cannot simply ensure communication between nanonodes using the flooding mechanism, which affects network performance and increases resource utilization. This paper considers the electromagnetic-based wireless nanosensor networks, and proposes a New Adaptive Probabilistic Based Broadcast Using Neighborhood Information. Simulations have been conducted using Nanosim simulator in order to compare our new schemes with the fixed probabilistic based broadcast. The experiments show that the proposed approach gives good results in terms of Packet Delivery Ratio (PDR reached 95%.), the amount of energy consumed (significantly reduced) for all the categories of density. No startup setup is required: the nanonodes adjust by themselves the broadcasting probability based on neighborhood collected information.
NS3 simulator. [Online]. Available at: https://www.nsnam.org. Accessed 13 Feb 2020.
F. Al-Turjman, “A rational data delivery framework for disaster-inspired internet of nano-things (IONT) in practice,” Cluster Computing, vol. 22, issue 1, pp. 1751–1763, 2019.
I.F. Akyildiz, F. Brunetti, C. Blazquez, “Nanonetworks: A new communication paradigm. computer networks,” The International Journal of Computer and Telecommunications Networking, vol. 52, pp. 2260–2279, 2008.
I. Akyildiz, J. Jornet, “The internet of nano-things,” Proceedings of the IEEE Conference on Wireless Communications, 2010, pp. 58–63.
B. Atakan, S. Galmes, O.B. Akan, “Nanoscale communication with molecular arrays in nanonetworks,” IEEE Transactions on NanoBioscience, vol. 11, pp. 149–160, 2012.
Nano-sim. [Online]. Available at: http://telematics.poliba.it/. Accessed 05 Feb 2020.
G. Piro, L.A. Grieco, G. Boggia, P. Camarda, “Nano-sim: Simulating electromagnetic-based nanonetworks in the network simulator 3,” Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques, Brussels, 2013, pp. 203–210.
Z. W. J. Xu, R. Zhang, An energy efficient multi-hop routing protocol for terahertz wireless nanosensor networks, Proceedings of the International Conference on Wireless Algorithms, Systems, and Applications, 2016, pp. 367-376.
J. Jornet, I. Akyilidiz, “Information capacity of pulse-based wireless nanosensor networks,” Proceedings of the IEEE Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON, 2011, pp. 80–88.
J. Jornet, I. Akyilidiz, “Low-weight channel coding for interference mitigation in electromagnetic nanonetworks in the terahertz band,” Proceedings of the IEE International Conference Communication (ICC), 2011, pp. 1–6.
J.M. Jornet, I.F. Akyildiz, “Graphene-based plasmonic nano-antenna for terahertz band communication in nanonetworks,” IEEE Journal on Selected Areas in Communications, vol. 31, pp. 685–694, 2013.
D. Kouvatsos, I. Mkwawa, “Broadcasting methods in mobile ad hoc networks: an overview,” in: Kouvatsos D., editor, Proceedings of the HetNet, UK, Lecture Notes in Computer Science, vol. 5233, Springer-Verlag Berlin Heidelberg, 2011, pp. 767–83.
C. Liaskos, A. Tsioliaridou, S. Ioannidis, N. Kantartzis, & A. Pitsillides, “A deployable routing system for nanonetworks,” Proceedings of the 2016 IEEE International Conference on Communications (ICC), 2016, pp. 1–6.
F. Afsana, M. Asif-Ur-Rahman, M. R. Ahmed, M. Mahmud, M. S. Kaiser, An energy conserving routing scheme for wireless body sensor nanonetwork communication, IEEE Access, vol. 6, pp. 9186–9200, 2018.
A. Oukhatar, M. Bakhouya, D. El Ouadghiri, K. Zine-Dine, “A performance evaluation of broadcasting algorithms in wireless nanosensor networks,” Proceedings of the 2016 5th IEEE International Conference on Multimedia Computing and Systems (ICMCS), 2016, pp. 616–620.
A. Oukhatar, M. Bakhouya, D. El Ouadghiri, K. Zine-Dine, “Probabilistic-based broadcasting for em-based wireless nanosensor networks,” Proceedings of the 15th ACM International Conference on Advances in Mobile Computing & Multimedia, New York, USA. 2017, pp. 232–236.
M. Bakhouya, J. Gaber, P. Lorenz, “Energy evaluation of AID protocol in mobile ad hoc networks,” Journal of Network and Computer Applications, vol. 58, pp. 287–293, 2015.
A. Tsioliaridou, C. Liaskos, L. Pachis, S. Ioannidis, A. Pitsillides, “N3: Addressing and routing in 3d nanonetworks,” Proceedings of the 2016 23rd International Conference on Telecommunications (ICT), 2016, pp. 1–6.
A. Tsioliaridou, C. Liaskos, S. Ioannidis, A. Pitsillides, “Corona: A coordinate and routing system for nanonetworks,” Proceedings of the Second ACM Annual International Conference on Nanoscale Computing and Communication, 2015, pp. 1-18.
Y.-C. Tseng, S.-Y. Ni, Y.-S. Chen, & J.-P. Sheu, “The broadcast storm problem in a mobile ad hoc network,” Wireless Networks, vol. 8, issues 2/3, pp. 153–167, 2002.
H. Yu, B. Ng, W. K. G. Seah, & Y. Qu, “TTL-based efficient forwarding for the backhaul tier in nanonetworks,” Proceedings of the 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2017, pp. 554–559.
S.R. Neupane, “Routing in resource constrained sensor nanonetworks,” Appl. Soft Comput., vol. 26, pp. 285–298, 2014.
S. Sharma, D. Bhatia, “Static cluster PBDA localization algorithm for wireless nanosensor networks in terahertz communication band,” in: Mathur G., Sharma H., Bundele M., Dey N., Paprzycki M. (eds), International Conference on Artificial Intelligence: Advances and Applications 2019. Algorithms for Intelligent Systems, Springer, Singapore, 2020, pp. 303-310.
M. Pierobon, “NASAIA. A routing framework for energy harvesting wireless nanosensor networks in the terahertz band,” Wirel. Netw., vol. 20, issue 5, pp. 1169-1183, 2014.
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