ABSTRACT
The present paper introduces a joint coordinate and routing system (CORONA) which can be deployed dynamically on a 2D ad-hoc nanonetwork. User-selected nodes are used as anchor-points at the setup phase. All nodes then measure their distances, in number of hops, from these anchors, obtaining a sense of geolocation. At operation phase, the routing employs the appropriate subset of anchors, selected by the sender of a packet. CORONA requires minimal setup overhead and simple integer-based calculations only, imposing limited requirements for trustworthy operation. Once deployed, it operates efficiently, yielding a very low packet retransmission and packet loss rate, promoting energy-efficiency and medium multiplexity.
- I. F. Akyildiz and J. M. Jornet. Electromagnetic wireless nanosensor networks. Nano Communication Networks, 1(1):3--19, 2010.Google ScholarCross Ref
- P. Boronin, V. Petrov, D. Moltchanov, Y. Koucheryavy, and J. M. Jornet. Capacity and Throughput Analysis of Nanoscale Machine Communication through Transparency Windows in the Terahertz Band. Nano Communication Networks, 5(3):72--82, 2014.Google ScholarCross Ref
- A. Caruso, S. Chessa, S. De, and A. Urpi. Gps free coordinate assignment and routing in wireless sensor networks. In INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE, volume 1, pages 150--160. IEEE, 2005.Google ScholarCross Ref
- A. Iyer, C. Rosenberg, and A. Karnik. What is the right model for wireless channel interference? IEEE Transactions on Wireless Communications, 8(5):2662--2671, 2009. Google ScholarDigital Library
- J. M. Jornet and I. F. Akyildiz. Channel Modeling and Capacity Analysis for Electromagnetic Wireless Nanonetworks in the Terahertz Band. IEEE Transactions on Wireless Communications, 10(10):3211--3221, 2011.Google ScholarCross Ref
- J. M. Jornet, J. Capdevila Pujol, and J. Solãľ Pareta. PHLAME: A Physical Layer Aware MAC protocol for Electromagnetic nanonetworks in the Terahertz Band. Nano Communication Networks, 3(1):74--81, 2012.Google ScholarCross Ref
- K. Kantelis, S. A. Amanatiadis, C. K. Liaskos, N. V. Kantartzis, N. Konofaos, P. Nicopolitidis, and G. I. Papadimitriou. On the Use of FDTD and Ray-Tracing Schemes in the Nanonetwork Environment. IEEE Communications Letters, 18(10):1823--1826, 2014.Google ScholarCross Ref
- H. Kodesh, V. Bahl, T. Imielinski, M. Steenstrup, S.-Y. Ni, Y.-C. Tseng, Y.-S. Chen, and J.-P. Sheu. The broadcast storm problem in a mobile ad hoc network. In Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking - MobiCom '99, Seattle, Washington, August, pages 151--162. ACM Press, 1999. Google ScholarDigital Library
- C. Liaskos, A. Tsioliaridou, A. Pitsillides, I. F. Akyildiz, N. Kantartzis, A. Lalas, X. Dimitropoulos, S. Ioannidis, M. Kafesaki, and C. Soukoulis. Design and Development of Software Defined Metamaterials for Nanonetworks, 2015. IEEE Circuits and Systems Magazine. To appear.Google ScholarCross Ref
- C. K. Liaskos and A. N. Tsioliaridou. A Promise of Realizable, Ultra-Scalable Communications at nano-Scale: A multi-Modal nano-Machine Architecture. IEEE Transactions on Computers, PrePrint(99):1--14, 2014.Google Scholar
- M. Pierobon and I. F. Akyildiz. Diffusion-Based Noise Analysis for Molecular Communication in Nanonetworks. IEEE Transactions on Signal Processing, 59(6):2532--2547, 2011. Google ScholarDigital Library
- M. Pierobon, J. M. Jornet, N. Akkari, S. Almasri, and I. F. Akyildiz. A routing framework for energy harvesting wireless nanosensor networks in the Terahertz Band. Wireless Networks, 20(5):1169--1183, 2014. Google ScholarDigital Library
- Shahram Mohrehkesh and Michele C. Weigle. RIH-MAC: Receiver-Initiated Harvesting-aware MAC for NanoN}etworks. In Proceedings of the ACM International Conference on Nanoscale Computing and Communication, pages 180--188. ACM, 2014. Google ScholarDigital Library
- V. Srikanth, S. Chaluvadi, Vani, and Venkatesh. Energy Efficient, Scalable and Reliable MAC Protocol for Electromagnetic Communication among Nano Devices. International Journal of Distributed and Parallel Systems, 3(1):249--256, 2012.Google ScholarCross Ref
- A. Tsioliaridou, C. Liaskos, S. Ioannidis, X. Dimitropoulos, and A. Pitsillides. Mitigating the broadcast storm in nanonetworks with 16-bits, Foundation of Research and Technology - Hellas, TR-TNL-IRG-2015-1, 2015.Google Scholar
- B. D. Unluturk, D. Malak, and O. B. Akan. Rate-Delay Tradeoff With Network Coding in Molecular Nanonetworks. IEEE Transactions on Nanotechnology, 12(2):120--128, 2013. Google ScholarDigital Library
- P. Wang, J. M. Jornet, M. Abbas Malik, E. Fadel, and I. F. Akyildiz. Energy and spectrum-aware MAC protocol for perpetual wireless nanosensor networks in the Terahertz Band. Ad Hoc Networks, 11(8):2541--2555, 2013. Google ScholarDigital Library
- T. Zhu, Z. Zhong, T. He, and Z.-L. Zhang. Achieving Efficient Flooding by Utilizing Link Correlation in Wireless Sensor Networks. IEEE/ACM Transactions on Networking, 21(1):121--134, 2013. Google ScholarDigital Library
Index Terms
CORONA: A Coordinate and Routing system for Nanonetworks
-
Recommendations
-
802.11g packet-loss behavior at high sustained bit rates in the home
802.11g is a popular way to transmit data throughout homes wirelessly. However, common broadcast-quality video bitrates, up to 20 Megabits per second, represent difficult challenges for wireless networks in terms of latency, packet loss, and packet ...
-
Optimising file delivery in a maritime environment through inter-vessel connectivity predictions
WIMOB '12: Proceedings of the 2012 IEEE 8th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)It is well known that the Internet infrastructure is experiencing an ever growing demand for large file/data transfers. To date, Delay Tolerant Networking (DTN) seems as the only economically viable over-the-sea communications paradigm to support bulk ...
-
Integration of Multi-path Optimized Link State Protocol with Max-weight Scheduling
ICIMT '09: Proceedings of the 2009 International Conference on Information and Multimedia TechnologyBackpressure-based Max-Weight Scheduling (MWS) algorithms are theoretically proven to be optimal with respect to wireless multi-hop networks throughput maximization. On the other hand, Optimized Link State Protocol (OLSR) is the leading proactive ...
Comments