A recently conducted indoor-to-outdoor measurement campaign for investigating the propagation characteristics of an 8 × 8 virtual multiple-input-multiple-output (MIMO) based wireless sensor network (WSN) is presented in this paper. The campaign is conducted in an instrumentation room devoid of windows, but filled with different noisy electrical and measuring units. The channel impulse responses are reported when a 20 MHz wide signal is transmitted at 2.53 GHz. Measurements are collected for 15 different spatial combinations of the transmit antennas. After analyzing the collected data, system capacity and achievable transmission rates are calculated for each measurement scenario. Using these values, we examined the best configuration for positioning the sensors that can maximize overall network throughput. Results demonstrated that distributing sensors on all 4 walls of the room can achieve the highest possible information rate.

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The scale of weather monitoring is limited by the cost of the automatic weather stations (AWS), which is mainly the cost of high precision instruments and long-distance wireless telecommunication equipments. We propose a wireless sensor network (WSN) based AWS, which takes advantage of the low-cost, real-time and infrastructure-free characteristics of WSN [1]. We can therefore extend the scale of weather monitoring without increasing the number of telecommunication equipments. This WSN-based AWS is able to cover a plane and gather multiple sets of weather measurements in real-time at a better data resolution.

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