[1]SATYANARAYANAN M. Pervasive computing: vision and challenges[J]. IEEE Personal Communications, 2001,8(4):10-17.
[2]ATZORI L, IERA A, MORABITO G. The Internet of things: a survey[J]. Computer Networks,2010,54(15):2787-2805.
[3]PUCCINELLI D, HAENGGI M. Wireless sensor networks: applications and challenges of ubiquitous sensing[J].IEEE Circuits and Systems Magazine, 2005,5(3):19-31.
[4]GU Y, JI Y, CHEN H, et al. Towards an optimal sink placement in wireless sensor networks[C]// Proceedings of the 2010 IEEE International Conference on Communications. Piscataway: IEEE Press, 2010:1-5.
[5]KIM H, SEOK Y, CHOI N, et al. Optimal multi-sink positioning and energy-efficient routing in wireless sensor networks[C]// Proceedings of the 2005 International Conference on Information Networking: Convergence in Broadband and Mobile Networking. Berlin: Springer-Verlag, 2005:264-274.
[6]KARAKI J N,KAMAL A E. Routing techniques in wireless sensor networks: A survey[J]. IEEE Wireless Communication Magazine,2004,11(6):6-28.
[7]SHAH R, ROY S, JAIN S, et al. Data MULEs: Modeling and analysis of a three-tier architecture for sparse sensor networks[J]. Ad Hoc Networks, 2003,1(2/3):215-233.
[8]TONG L,ZHAO Q,ADIREDDY S. Sensor networks with mobile Agents[C]// Proceedings of the 2003 IEEE Military Communications Conference. Piscataway: IEEE, 2003:688-693.
[9]WANG Z M, BASAGNI S, MELACHRINOUDIS E, et al. Exploiting sink mobility for maximizing sensor networks lifetime[C]// Proceedings of the 38th Annual Hawaii International Conference on System Sciences. Piscataway: IEEE,2005:287a.
[10]LUO J, HUBAUX J P. Joint mobility and routing for lifetime elongation in wireless sensor networks[C]// Proceedings of the 2005 IEEE International Conference on Computer Communications. Piscataway: IEEE, 2005:1735-1746.
[11]BASAGNI S, CAROSI A, MELACHRINOUDIS E, et al. Controlled sink mobility for prolonging wireless sensor networks lifetime[J]. ACM/Springer Wireless Networks, 2008,14(6):831-858.
[12]GANDHAM S R, DAWANDE M, PRAKASH R, et al. Energy efficient schemes for wireless sensor networks with multiple mobile base stations[C]// Proceedings of the 2003 IEEE Global Telecommunications Conference. Piscataway: IEEE, 2003: 377-381.
[13]GAO S, ZHANG H. Optimal path selection for mobile sink in delay guaranteed sensor networks[J]. Acta Electronica Sinica, 2011,39(4):742-747.(郜帅,张宏科.时延受限传感器网络移动Sink 路径选择方法研究[J].电子学报,2011,39(4):742-747.)
[14]ZHANG X, SHEN L, JIANG Y. Optimizing path selection of mobile sink nodes in mobility-assistant WSN[J]. Journal on Communications, 2013,34(2):85-93.(张希伟,沈琳,蒋益峰.移动协助传感器网络中Sink的路径优化策略[J]. 通信学报, 2013,34(2):85-93.)
[15]ZHANG X, DAI H, XU L, et al. Mobility-assisted data gathering strategies in WSNs[J]. Journal of Software, 2013,24(2):198-214.(张希伟,戴海鹏,徐力杰,等.无线传感器网络中移动协助的数据收集策略[J].软件学报, 2013, 24(2): 198-214.)
[16]LI B,LIN Y,ZHOU S, et al. Efficient data collection algorithm in sensor networks with optimal-path mobile sink[J]. Journal of Computer Applications, 2011,31(10): 2625-2629.(李彬,林亚平,周四望,等.传感器网络中基于移动Sink最优穿越路径的高效数据收集算法[J].计算机应用,2011,31(10):2625-2629.)
[17]LUO H, YE F, CHENG J, et al. TTDD: two-tier data dissemination in large-scale wireless sensor networks[J]. Elsevier/ACM Wireless Networks,2005,11(1/2):161-175.
[18]KIM H S, ABDELZAHER T F, KWON W H. Minimum energy asynchronous dissemination to mobile sinks in wireless sensor networks[C]// Proceedings of the 1st International Conference on Embedded Networked Sensor Systems. New York: ACM, 2003:193-204.
[19]YE Y. An O(n3L) potential reduction algorithm for linear programming[J].Mathematical Programming, 1991,50(1/2/3):239-258. |