Influence of node deployment parameters on QoS in large-scale WSN

Quality of Service (QoS) support in large-scale Wireless Sensor Networks (WSNs) is becoming a hot topic in WSN area of research, primarily due to the fact that very complex problems need to be solved using resource constrained WSN nodes. On the other hand, with the large number of nodes in a network, a collective intelligence approach comes into focus for solving various issues. However, as node density and number increases various related problems comes into focus, such as increased RF interference on physical layer, large number of hops in data routing and the overall coverage area issue. All of these parameters are the result of WSN node deployment strategy and their influence on QoS cannot be neglected. To analyze this problem the paper simulated the behavior of large-scale WSN (up to 1000 nodes using OMNeT++) randomly deployed over an area of interest, based on deployment parameters (coverage area, number of nodes and TX power) and in respect to QoS metrics. From simulation results it can be concluded that deployment parameters substantially affects the QoS that a network can support. By choosing optimal deployment parameters it is possible to maximize QoS in a network.