ADHOC-NOW 2009: Ad-Hoc, Mobile and Wireless Networks pp 213-226 | Cite as
Mobile Sinks for Information Retrieval from Cluster-Based WSN Islands
Abstract
Mobile sinks (MS) mounted upon urban vehicles with fixed trajectories (e.g. buses) provide the ideal infrastructure to effectively retrieve sensory data from isolated Wireless Sensor Network (WSN) fields. Existing approaches involve either single-hop transfer of data from sensors that lie within the MS’s range or heavy involvement of network periphery nodes in data retrieval, processing, buffering and delivering tasks. These nodes run the risk of rapid energy exhaustion resulting in loss of network connectivity. Our proposed protocol aims at minimizing the overall network overhead and energy expenditure associated with the multi-hop data retrieval process while also ensuring balanced energy consumption among network nodes and prolonged network lifetime. This is achieved through building cluster structures consisted of member nodes that route their measured data to their assigned cluster head (CH). CHs perform data filtering upon raw data exploiting potential spatial-temporal data redundancy and forward the filtered information to appropriate end nodes.
Keywords
Mobile Robot Cluster Head Network Lifetime Residual Energy Cluster MemberPreview
Unable to display preview. Download preview PDF.
References
- 1.Anastasi, G., Conti, M., Di Francesco, M.: Data Collection in Sensor Networks with Data Mules: an Integrated Simulation Analysis. In: Proceedings of the IEEE Symposium on Computers and Communications (ISCC 2008), pp. 1096–1102 (2008)Google Scholar
- 2.Blough, D.M., Santi, P.: Investigating Upper Bounds on Network Lifetime Extension for Cell-Based Energy Conservation Techniques in Stationary Ad Hoc Networks. In: Proceedings of the 8th ACM/IEEE International Conference on Mobile Computing and Networking (MOBICOM 2002), pp. 183–192 (2002)Google Scholar
- 3.Chakrabarti, A., Sabharwal, A., Aazhang, B.: Using Predictable Observer Mobility for Power Efficient Design of Sensor Networks. In: Zhao, F., Guibas, L.J. (eds.) IPSN 2003. LNCS, vol. 2634, pp. 129–145. Springer, Heidelberg (2003)CrossRefGoogle Scholar
- 4.Chen, G., Li, C., Ye, M., Wu, J.: An Unequal Cluster-Based Routing Protocol in Wireless Sensor Networks. Wireless Networks (2007)Google Scholar
- 5.Ekici, E., Gu, Y., Bozdag, D.: Mobility-Based Communication in Wireless Sensor Networks. IEEE Communications Magazine 44(7), 56–62 (2006)CrossRefGoogle Scholar
- 6.Hall, D.: Mathematical Techniques in Multisensor Data fusion. Artech House, Boston (1992)Google Scholar
- 7.Heinzelman, W., Chandrakasan, A., Balakrishnan, H.: An Application-Specific Protocol Architecture for Wireless Microsensor Networks. IEEE Transactions on Wireless Communications 1(4), 660–670 (2002)CrossRefGoogle Scholar
- 8.Hill, J., Szewczyk, R., Woo, A., Hollar, S., Culler, D.E., Pister, K.S.J.: System Architecture Directions for Networked Sensors. Architectural Support for Programming Languages and Operating Systems 35(11), 93–104 (2000)Google Scholar
- 9.Intanagonwiwat, C., Govindan, R., Estrin, D., John, H., Silva, F.: Directed Diffusion for Wireless Sensor Networking. IEEE/ACM Transactions on Networking 11(1), 2–16 (2003)CrossRefGoogle Scholar
- 10.Luo, H., Liu, Y., Das, S.K.: Routing Correlated Data in Wireless Sensor Networks: A Survey. IEEE Network 21(6), 40–47 (2007)CrossRefGoogle Scholar
- 11.Ma, M., Yang, Y.: Data Gathering in Wireless Sensor Networks with Mobile Collectors. In: Proceedings of the 22nd International Parallel and Distributed Processing Symposium (IPDPS 2008), pp. 1–9 (2008)Google Scholar
- 12.Somasundara, A.A., Kansal, A., Jea, D.D., Estrin, D., Srivastava, M.B.: Controllably Mobile Infrastructure for Low Energy Embedded Networks. IEEE Transactions on Mobile Computing 5(8), 958–973 (2006)CrossRefGoogle Scholar
- 13.Xing, G., Wang, T., Xie, Z., Jia, W.: Rendezvous Planning in Wireless Sensor Networks with Mobile Elements. IEEE Transactions on Mobile Computing 7(12), 1430–1443 (2008)CrossRefGoogle Scholar