Impact of the error sensing probability in wide coverage areas of clustered-based wireless sensor networks

Abstract

ABSTRACT:Wireless sensor networks are composed by a big number of autonomous nodes surveying a certain environmental parameter, such as temperature, humidity or even mobile targets. In this work, we focus on mobile target detection in wide area systems such as tracking animals in a forest or vehicle detection in security missions. Specifically, a low energy consumption clustering protocol is proposed, analyzed and studied. To this end, two communication schemes, based on the well-known LEACH protocol are proposed. The performance of the system is studied by means of a mathematical model that describes the behavior of the network under the most relevant parameters such as coverage radius, transmission radius, and number of nodes inside the network. Additionally, the transmission probability in the cluster formation phase is studied under realistic considerations of a wireless channel, where signal detection errors occur due to interference and noise in the access channel. RESUMEN:Las redes inalámbricas de sensores están compuestas por un gran número de nodos autónomos que vigilan algún parámetro del ambiente de interés, como puede ser la temperatura, la humedad o incluso objetivos móviles. Este trabajo se enfoca en la detección de móviles en áreas amplias como puede ser la vigilancia de animales en un bosque o la detección de vehículos en misiones de seguridad. Específicamente, se propone, analiza y estudia un protocolo de agrupación de bajo consumo de energía. Para ello, se presentan dos esquemas de comunicaciones basados en el bien conocido protocolo LEACH. El desempeño del sistema se estudia por medio de un modelo matemático que describe el comportamiento de la red bajo los parámetros más relevantes, como son: radio de cobertura, radio de transmisión y número de nodos en la red. Adicionalmente, se estudia la probabilidad de transmisión en la fase de formación de grupos bajo consideraciones realistas de un canal inalámbrico, en donde la detección de la señal tiene errores debido a la interferencia y ruido en el canal de acceso.

Performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications: A discrete model

“…However, classical clustering algorithms, such as LEACH, 29 do not guarantee such uniform distribution either. In fact, for N 100, this CH selection achieves a similar performance as LEACH as shown in the work by Romo Montiel et al 37 Furthermore, different techniques to assure a good node distribution can be considered at the expense of having a more computational complex CF algorithm or CF delay. We consider this issue to lay outside the scope of the work, and we leave this research area open for a future work.…”

Primary User Emulation in Cognitive Radio-Enabled WSNs for Structural Health Monitoring: Modeling and Attack Detection

“…However, this is a common issue among clustering algorithms such as LEACH [26]. Furthermore, in [36] we show that for N ≤ 100, performance of the proposed first arrive-first chosen approach is similar to LEACH. In order to provide an event CH distribution and avoid long transmissions inside the clusters, require more computing operations that consume more energy and time to form the clusters.…”