Wireless Sensor Network Autonomic Agent Based on In-Cluster Directional Evidence Reasoning*
The sensor nodes performance evaluation and uncertainty reasoning are vital to dynamic, fault tolerance wireless sensor network management. An efficient directional evidence reasoning algorithm is put forward based on in-cluster directional hierarchical architecture, which is adapted to capture epistemic uncertainty in sensornetwork. Accounting for NP complete of combination of Dempster Shafer Theory (DST) for central algorithm, one distribute in-cluster algorithm is applied with Fast M.bius Transform (FMT) based on coarsening combination of evidences. This method not only offers an efficient framework for uncertainty reasoning with low computation cost, but also balances energy budget between ubiquitous computation and communication. Simulation verified it efficiency for self-management, and lifetime of wireless sensor network is prolonged obviously.
Wireless Sensor Network autonomic agent belief function in cluster uncertainty reasoning
Sun Tao Gao Rui Li Deshi Yang Xiangguo
Electronic Information School of Wuhan University,P.R.China Civil Engineering School of Wuhan University,P.R.China
国际会议
武汉
英文
2006-09-01（万方平台首次上网日期，不代表论文的发表时间）