The Community for Technology Leaders
RSS Icon
Issue No.01 - January (2012 vol.23)
pp: 44-51
H. S. AbdelSalam , Comput. Sci. Dept., Norfolk, VA, USA
Sensor networks have their own distinguishing characteristics that set them apart from other types of networks. Several techniques have been proposed in the literature to address some of the fundamental problems faced by a sensor network design. Most of the proposed techniques attempt to solve one problem in isolation from the others; hence, protocol designers have to face the same common challenges again and again. This, in turn, has a direct impact on the complexity of the protocols and on energy consumption. Instead of using this approach, we propose BEES, a lightweight bioinspired backbone construction protocol, that can help mitigate many of the typical challenges in sensor networks by allowing the development of simpler network protocols. We show how BEES can help mitigate many of the typical challenges inherent to sensor networks including sensor localization, clustering, and data aggregation among others.
wireless sensor networks, protocols, sensor fusion, sensor clustering, BEES, bioinspired backbone selection, wireless sensor networks, protocol designer, energy consumption, lightweight bioinspired backbone construction protocol, sensor localization, data aggregation, Protocols, Joining processes, Training, Synchronization, Estimation, Switches, Energy consumption, clustering., WSN, backbone sensors, hexagons, voids, BEES, infrastructure, bioinspired
H. S. AbdelSalam, "BEES: BioinspirEd backbonE Selection in Wireless Sensor Networks", IEEE Transactions on Parallel & Distributed Systems, vol.23, no. 1, pp. 44-51, January 2012, doi:10.1109/TPDS.2011.100
[1] A.A. Bertossi, S. Olariu, and C.M. Pinotti, “Efficient Corona Training Protocols for Sensor Networks,” Theoretical Computer Science, vol. 402, no. 1, pp. 2-15, 2008.
[2] H. Frey and D. Gorgen, “Geographical Cluster-Based Routing in Sensing-Covered Networks,” IEEE Trans. Parallel Distributed Systems, vol. 17, no. 9, pp. 899-911, Sept. 2006.
[3] S. Olariu and I. Stojmenovic, “Design Guidelines for Maximizing Lifetime and Avoiding Energy Holes in Sensor Networks with Uniform Distribution and Uniform Reporting,” Proc. IEEE INFOCOM '06, pp. 1-12, Apr. 2006.
[4] S. Olariu, A. Wada, L. Wilson, and M. Eltoweissy, “Wireless Sensor Networks: Leveraging the Virtual Infrastructure,” IEEE Network, vol. 18, no. 4, pp. 51-56, July/Aug. 2004.
[5] A. Srinivas, G. Zussman, and E. Modiano, “Construction and Maintenance of Wireless Mobile Backbone Networks,” IEEE/ACM Trans. Networking, vol. 17, no. 1, pp. 239-252, Feb. 2009.
[6] I. Stojmenovic, “Honeycomb Networks: Topological Properties and Communication Algorithms,” IEEE Trans. Parallel and Distributed Systems, vol. 8, no. 10, pp. 1036-1042, Oct. 1997.
[7] A. Wadaa, S. Olariu, L. Wilson, M. Eltoweissy, and K. Jones, “Training a Wireless Sensor Network,” Mobile Networks and Applications, vol. 10, pp. 151-168, 2005.
20 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool