The Community for Technology Leaders
RSS Icon
Issue No.04 - April (2008 vol.7)
pp: 484-497
In multi-hop wireless sensor networks that are often characterized by many-to-one (convergecast) traffic patterns, problems related to energy imbalance among sensors often appear. Sensors closer to a data sink are usually required to forward a large amount of traffic for sensors farther from the data sink. Therefore, these sensors tend to die early, leaving areas of the network completely unmonitored and reducing the functioning network lifetime. In our study, we explore possible sensor network deployment strategies that maximize sensor network lifetime by mitigating the hot spot around the data sink. Strategies such as variable-range transmission power control, mobile data sink deployment, multiple data sink deployment, non-uniform initial energy assignment and intelligent sensor/relay deployment are investigated. We suggest a general model to analyze and evaluate these strategies. In this model, we not only discover how to maximize network lifetime given certain network constraints, we also consider the factor of extra cost involved in more complex deployment strategies. This paper presents a comprehensive analysis on the maximum achievable sensor network lifetime for different deployment strategies, and it also provides practical cost-efficient sensor network deployment guidelines.
wireless sensor networks, data dissemination, linear programming, deployment strategies
Mark Perillo, Zhao Cheng, "General Network Lifetime and Cost Models for Evaluating Sensor Network Deployment Strategies", IEEE Transactions on Mobile Computing, vol.7, no. 4, pp. 484-497, April 2008, doi:10.1109/TMC.2007.70784
[1] H. Takagi and L. Kleinrock, “Optimal Transmission Ranges for Randomly Distributed Packet Radio Terminals,” IEEE Trans. Comm., vol. 32, pp. 246-257, Mar. 1984.
[2] R. Ramanathan and R. Hain, “Topology Control of Multihop Wireless Networks Using Transmit Power Adjustment,” Proc. IEEE INFOCOM, 2000.
[3] V. Rodoplu and T. Meng, “Minimum Energy Mobile Wireless Networks,” Proc. IEEE Int'l Conf. Comm. (ICC), 1998.
[4] B. Calhoun, D. Daly, N. Verma, D. Finchelstein, D. Wentzloff, A. Wang, S. Cho, and A. Chandrakasan, “Design Considerations for Ultra-Low Energy Wireless Microsensor Nodes,” IEEE Trans. Computers, vol. 54, no. 6, pp. 727-740, June 2005.
[5] I. Stojmenovic and X. Lin, “Power-Aware Localized Routing in Wireless Networks,” IEEE Trans. Parallel and Distributed Systems, vol. 12, no. 10, pp. 1122-1133, Oct. 2001.
[6] S. Singh, M. Woo, and C. Raghavendra, “Power-Aware Routing in Mobile Ad Hoc Networks,” Proc. ACM MobiCom, 1998.
[7] J. Chang and L. Tassiulas, “Energy Conserving Routing in Wireless Ad Hoc Networks,” Proc. IEEE INFOCOM, 2000.
[8] C. Efthymiou, S. Nikoletseas, and J. Rolim, “Energy Balanced Data Propagation in Wireless Sensor Networks,” Proc. 18th Int'l Parallel and Distributed Processing Symp. (IPDPS), 2004.
[9] M. Bhardwaj and A. Chandrakasan, “Bounding the Lifetime of Sensor Networks via Optimal Role Assignments,” Proc. IEEE INFOCOM, 2002.
[10] M. Perillo and W. Heinzelman, “Simple Approaches for Providing Application QoS through Intelligent Sensor Management,” Elsevier Ad Hoc Networks J., vol. 1, no. 2-3, pp. 235-246, 2003.
[11] G. Zussman and A. Segall, “Energy Efficient Routing in Ad Hoc Disaster Recovery Networks,” Proc. IEEE INFOCOM, 2003.
[12] M. Perillo, Z. Cheng, and W. Heinzelman, “On the Problem of Unbalanced Load Distribution in Wireless Sensor Networks,” Proc. Global Telecommunications Conf. (GLOBECOM '04) Workshop Wireless Ad Hoc and Sensor Networks, 2004.
[13] R. Shah, S. Roy, S. Jain, and W. Brunette, “Data MULEs: Modeling a Three-Tier Architecture for Sparse Sensor Networks,” Proc. FirstIEEE Workshop Sensor Network Protocols and Applications (SNPA), 2003.
[14] H. Kim, T. Abdelzaher, and W. Kwon, “Minimum-Energy Asynchronous Dissemination to Mobile Sinks in Wireless Sensor Networks,” Proc. First ACM Conf. Embedded Networked Sensor Systems (SenSys), 2003.
[15] J. Luo and J. Hubaux, “Joint Mobility and Routing for Lifetime Elongation in Wireless Sensor Networks,” Proc. IEEE INFOCOM, 2005.
[16] M. Kalantari and M. Shayman, “Design Optimization of Multi-Sink Sensor Networks by Analogy to Electrostatic Theory,” Proc. IEEE Wireless Comm. and Networking Conf. (WCNC), 2006.
[17] C. Wan, S. Eisenman, A. Campbell, and J. Crowcroft, “Siphon: Overload Traffic Management Using Multi-Radio Virtual Sinks in Sensor Networks,” Proc. Third ACM Conf. Embedded Networked Sensor Systems (SenSys), 2005.
[18] W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “AnApplication-Specific Protocol Architecture for Wireless Microsensor Networks,” IEEE Trans. Wireless Comm., vol. 1, pp.660-670, Oct. 2002.
[19] S.C. Ergen and P. Varaiya, “Optimal Placement of Relay Nodes for Energy Efficiency in Sensor Networks,” Proc. IEEE Int'l Conf. Comm. (ICC), 2006.
[20] Y.T. Hou, Y. Shi, H.D. Sherali, and S.F. Midkiff, “Prolonging Sensor Network Lifetime with Energy Provisioning and Relay Node Placement,” Proc. Second Ann. IEEE Int'l Conf. Sensor and AdHoc Comm. and Networks (SECON), 2005.
[21] I. Howitt and J. Wang, “Energy Balanced Chain in Wireless Sensor Networks,” Proc. IEEE Wireless Comm. and Networking Conf. (WCNC), 2004.
[22] X. Wang, G. Xing, Y. Zhang, C. Lu, R. Pless, and C. Gill, “Integrated Coverage and Connectivity Configuration in Wireless Sensor Networks,” Proc. First ACM Conf. Embedded Networked Sensor Systems (SenSys), 2003.
[23] F. Ye, G. Zhong, J. Cheng, S. Lu, and L. Zhang, “PEAS: A Robust Energy Conserving Protocol for Long-Lived Sensor Networks,” Proc. 23rd Int'l Conf. Distributed Computing Systems (ICDCS), 2003.
[24] J. Elson, L. Girod, and D. Estrin, “Fine-Grained Network Time Synchronization Using Reference Broadcasts,” Proc. Fifth Symp. Operating Systems Design and Implementation (OSDI), 2002.
[25] M. Perillo and W. Heinzelman, “DAPR: A Protocol for Wireless Sensor Networks Utilizing an Application-Based Routing Cost,” Proc. IEEE Wireless Comm. and Networking Conf. (WCNC), 2004.
[26] Moteiv Corp., http:/, 2006.
[27] Crossbow Technology, Inc., http:/, 2006.
6 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool