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In order to cut down the localization accuracy problem of wireless sensor network (WSN), a novel node localization method is proposed with back propagation neural network (BPNN). At first, the calculation of node localization is presented by ranging interval and signal strength, and the parameters are rapid solving base on BPNN. Finally, a simulation experiment is conducted to study the influence key factor with NS2 and MATLAB. The results show that, compared other localization algorithm, this method has good suitability, and it could effectively reduce the localization error.

Referring to the international specifications on NGOSS released by TMF (eTOM which specifies the Business Process Framework and SID which describes the Shared Information/Data and SLA which describes the service level agreement in NGOSS knowledge base), and domestic business specifications and status of related to BSS/OSS, the author studied the materials related to the SLA Information Model in OSS, explored the information modeling methods. It includes the correlation content of SLA information model from resource, service to customer.

The paper discuss the Wireless LAN 802.11b network security. WLAN security mechanisms including the comparisons of SSIDs, MAC address filtering and the WEP key encryption. based on these authentication methods, etc. By analyzing the weaknesses of WEP and RC4, a simulative platform of software and hardware is designed to crack WEP key. Experiments show that WEP Key can be cracked including SSID enumeration, MAC address spoofing and WEP key cracking by FMS Attack. The paper propose some solutions for Wireless LAN 802.11b network security, for example, WEP key hashing, Dynamic WEP keys, Initialization Vector changes and Message Integrity Check.

The current popular wireless sensor network operating system to be large and complex, Leading to the size of program after compiling is too large and difficult to put into the memory of low-cost processors. In this paper, for the improvement of the program size too large problem, we propose a Lightweight wireless sensor network operating systems(LOS) that is based TinyOS. Our LOS adapts C programming language, static memory mapping mechanism, event-driven concurrent control and monolithic kernel architecture to achieve lightweight Through appropriate design concepts and code optimization to achieve the light weight of LOS. Experimental results show that under the same algorithm, LOS can save about 20K bytes in size, to achieve a light weight of the goal.