Sensor Networks, especially wireless sensor networks, have attracted significant research interests due to their wide applications and technological challenges and opportunities introduced by the limited resources such as the limited node energy and wireless communication bandwidth. Usually data transmissions in the networks are also unreliable, which results in random delays and losses of the sensor data when the sensor data are exchanged among the nodes or sent to the data-processing center. Moreover, the quantization or compression of the sensor data is desired to trade-off between the signal processing performance and the required network bandwidth. It is very important to design collaborative signal processing algorithms and systems with network and sensor resource management under the uncertain network environment featured with the delayed, lost, or/and quantized data.

The main focus of this special issue will be on the new results on resource-constrained signal processing in sensor networks. It will provide an international platform for researchers to summarize the most recent developments and ideas in the field, with a special emphasis given to the technical and observational results obtained within the last five years. Potential topics include, but are not limited to:

• Data quantization or compression algorithm
• Estimation with random delayed or/and lost data
• Information fusion in networked systems
• Distributed algorithms for signal processing
• Sensor node localization
• Target detection and tracking
• Adaptive and mobile sensing
• Consensus estimation and cooperation
• Application of sensor networks such as environmental monitoring, industrial automation, and healthcare

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/mpe/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/mpe/rssn/ according to the following timetable: