1. 毕业设计（论文）的内容和要求

内容： 基于局部信息传播的分散式协调研究利用局部信息的传播完成自治代理的协调，自治代理可以是软件或机器人，使该群体达到某种目标，例如无线传感器自动通信频段选择。

本课题设计一软件系统完成协调，并做相应理论分析。

要求：软件架构简明，用户界面友好

2. 参考文献

1.志鑫, 郝燕玲. Tanner图和积算法的伪码捕获及性能分析[J]. 北京邮电大学学报, 2009, 32(3):50-54. 2.吕香玲, 张志勇, 胡光岷. 基于因子图#8212;和积算法的故障链路诊断[J]. 计算机应用, 2012, 32(02):343-346. 3.耿蕾蕾, 蔚承建. 基于混沌序列的最大和分散式协调算法[J]. 计算机工程与应用, 2010(31):57-60. 4.耿蕾蕾, 蔚承建. 改进的最大和分散式协调算法[J]. Journal of Computer Applications, 2010(8):2073-2076. 5.Ammari, H. M., Das, S. R. (2009). Fault tolerance measures for large-scale wireless sensor networks.ACM Transactions on Autonomous and Adaptive System, 4(1), 1#8211;28. 6.Farinelli, A., Rogers, A., Jennings, N. R. (2008). Maximising sensor network ef#64257;ciency through agent-based coordination of sense/sleep schedules. In Proceedings of the Workshop on Energy in Wireless Sensor Networks in conjuction with DCOSS 2008. 7.Guestrin, C., Koller, D., Parr, R. (2001). Multiagent planning with factored mdps. In Advances in neural information processing systems (NIPS), pp. 1523#8211;1530, Vancouver. 8.Guestrin, C., Lagoudakis, M., Parr, R. (2002). Coordinated reinforcement learning. In Proceedings of ICML-02, pp. 227#8211;234. 9.Kansal, A., Hsu, J., Zahedi, S., Srivastava, M. B. (2007). Power management in energy harvesting sensor networks. ACM Transactions on Embedded Computing Systems, 6(4), 54#8211;61. 10.Kok, J. R., Vlassis, N. (December 2006). Collaborative multiagent reinforcement learning by payoff propagation. Journal of Machine Learning Research, 7, 1789#8211;1828. 11. MacKay, D. J. C. (2003). Information theory, inference, and learning algorithms. New York: Cambridge University Press. 12.Makarenko, A., Durrant-Whyte, H.F. (2004). Decentralized data fusion and control algorithms in active sensor networks. In Proceedings of Seventh International Conference on Information Fusion (Fusion 2004), pp. 479#8211;486. 13.Modi, P. J., Scerri, P., Shen, W. M., Tambe, M. (2003). Distributed sensor networks a multiagent perspective, chapter distributed resource allocation (pp. 219#8211;256). Dordrecht: Kluwer Academic. 14.Ramchurn, S., Farinelli, A., Macarthur, K., Polukarov, M., Jennings, N. R. (2010). Decentralised coordination in robocup rescue. The Computer Journal, 53(9), 1#8211;15. 15.Rogers,A.,David,E.,Jennings,N.R.(2005).Self-organizedroutingforwirelessmicrosensornetwors. Systems Man and Cybernetics Part A IEEE Transactions, 35(3), 349#8211;359. 16.Stefanovitch, N., Farinelli, A., Rogers, A., Jennings, N. R. (2011). Resource-aware junction trees for ef#64257;-cient multi-agent coordination. In Tenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), pp. 363#8211;370, Taipei. 17.Stranders, R., Farinelli, A., Rogers, A., Jennings, N. R. (2009). Decentralised coordination of mobile sensors using the max-sum algorithm. In Proceedings of the Twenty-First International Joint Conference on Arti#64257;cial Intelligence, pp. 299#8211;304. 18.Teacy W. T. L., Farinelli, A., Grabham, N. J., Padhy, P., Rogers, A., Jennings, N. R. (2008). Max-sum decentralised coordination for sensor systems. In 7th International Conference on Autonomous Agents and Multiagent Systems, pp. 1697#8211;1698. 19.Vinyals, M., Rodriguez-Aguilar, J., Cerquides, J. (2011). Constructing a unifying theory of dynamic programming dcop algorithms via the generalized distributive law. Autonomous Agents and Multi-Agent Systems, 22, 439#8211;464. 20.Zhang, W., Wang, G., Xing, Z., Wittenburg, L. (January 2005). Distributed stochastic search and distributed breakout: Properties, comparison and applications to constraint optimization problems in sensor networks. Arti#64257;cial Intelligence, 161(1#8211;2), 55#8211;87.

3. 毕业设计（论文）进程安排

20170116-20170303 撰写开题报告 20170304-20170415 程序原型设计 20170416-20170430 各模块完善 20170501-20170515 系统测试 20170516-20170530 撰写论文 20170601 交论文初稿 20170605-20170612 修改论文 20170615 答辩