Architecture and Methods for Innovative Heterogeneous Wireless Sensor Network Applications
AbstractNowadays wireless sensor netwoks (WSN) technology, wireless communications and digital electronics have made it realistic to produce a large scale miniaturized devices integrating sensing, processing and communication capabilities. The focus of this paper is to present an innovative mobile platform for heterogeneous sensor networks, combined with adaptive methods to optimize the communication architecture for novel potential applications in multimedia and entertainment. In fact, in the near future, some of the applications foreseen for WSNs will employ multi-platform systems with a high number of different devices, which may be completely different in nature, size, computational and energy capabilities, etc. Nowadays, in addition, data collection could be performed by UAV platforms which can be a sink for ground sensors layer, acting essentially as a mobile gateway. In order to maximize the system performances and the network lifespan, the authors propose a recently developed hybrid technique based on evolutionary algorithms. The goal of this procedure is to optimize the communication energy consumption in WSN by selecting the optimal multi-hop routing schemes, with a suitable hybridization of different routing criteria. The proposed approach can be potentially extended and applied to ongoing research projects focused on UAV-based sensing with WSN augmentation and real-time processing for immersive media experiences.
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Antonio, P.; Grimaccia, F.; Mussetta, M. Architecture and Methods for Innovative Heterogeneous Wireless Sensor Network Applications. Remote Sens. 2012, 4, 1146-1161.
Antonio P, Grimaccia F, Mussetta M. Architecture and Methods for Innovative Heterogeneous Wireless Sensor Network Applications. Remote Sensing. 2012; 4(5):1146-1161.Chicago/Turabian Style
Antonio, Pedro; Grimaccia, Francesco; Mussetta, Marco. 2012. "Architecture and Methods for Innovative Heterogeneous Wireless Sensor Network Applications." Remote Sens. 4, no. 5: 1146-1161.