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Wireless sensor networks (WSNs) have emerged as an effective solution for some data collection situations. However, owing to combining massively distributed data processing on embedded devices with ad-hoc communication over the wireless medium, WSNs are a challenging domain for application development. In this paper, a communication framework for data collection applications is presented. It provides an adaptive data transport protocol, multi-application running environment, nodes binding mechanisms, which facilitate the development of application systems, and reduces the cost of design and maintain.

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This paper designed the evaluation method and the index system. Through simulating behavior of pedestrian with mobile intelligent Bluetooth devices in the real city scene and did a quantitative analysis about the effects of flooding attacks to opportunity network in the three aspects of transmission capacity, transmission efficiency and energy consumption of nodes , in order to evaluate Direct Delivery, Spray and Wait and MaxProp the three opportunity network routing algorithm’s robustness under the flooding attack results showed that Direct Deliven algorithm robustness is best, it can withstand flooding attacks completely, robustness of the Spray and Wait algorithm is the worst, their performance will decline more than 80% in some scenarios, the performance of MaxProp algorithm under flood attacks will decrease remarkably.