Received Signal Strength Indicator is an indication of power level being received by a wireless device. This parameter for Wireless Fidelity has never been standardized, so any manufacturer implements it measuring as he knows better doing. This is a problem because different scenarios can be found based in several elements like: the particular Wireless Fidelity Network Interface implementation, the driver, the operating system and software monitoring implementation. This makes the utilization of the Received Signal Strength Indicator to implement higher level functions in wireless networks (like roaming management or localization of terminals) be a headache in realistic scenarios. This heterogeneity of devices, drivers… makes that the application of the Received Signal Strength Indicator be not general. In this paper we present the comparison of our new model of Received Signal Strength Indicator prediction in several realistic and heterogeneous scenarios. The experimental results indicate that we obtain in general, better results than the other models.
Wireless sensor networks (WSNs) are gaining significant interest of academia and industry. Multihop wireless networks are self-organizing and self-healing with cost effective deployment and maintenance, yet a lot needs to be done in terms of efficient and robust solutions. WSN has been an interesting area of research in the last years for various disciplines. WSN is the most appropriate choice for different environments monitoring. There are many protocols and algorithms based on natural behaviors that are able to sense data and take decisions.This special issue is dedicated to consider the technical and theoretical applications and challenges of bio-inspired networking and communication in WSN. The topics in the issue included but were not limited to We welcomed papers about techniques and applications, awareness, experiences, and best practices as well as future trends and needs related to all aspects of bio-inspired mechanisms in WSN.The papers have been peer-reviewed and have been selected on the basis of their quality and relevance to the topic of this special issue.The paper "Systems and Algorithms for Wireless Sensor Networks Based on Animal and Natural Behavior" realizes a survey of the actual systems based on natural behaviors that are currently used for several purposes in WSN. The novelty of this work is that authors recompile systems based on animal behavior and also systems based on other natural behaviors such as plant behavior, bacteria behavior, or immune systems behavior. In this study, authors analyzed the percentage of behaviors in bio-inspired systems, the percentage of bio-inspired main purposes (routing, node location, enhance lifetime, etc.), and even the main purposes of each bio-inspired behavior. Their results show that the bioinspired behaviors which bring more contributions are the animal behaviors (75% of total). Moreover, the ant colony behavior is the most important one between the animal behaviors (35% of the animal based behaviors). The most important function of natural behavior systems is the routing protocol (almost 50% of the total amount), followed by node location (almost 12% of the total amount); meanwhile, coverage optimization or security systems are not so common (less than 3% of the total amount).Power consumption can increase considerably if data collection is required from all nodes in a WSN. The authors in "In-Network Filtering Schemes for Type-Threshold Function Computation in Wireless Sensor Networks" propose two nature-inspired schemes to forward only relevant data
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