Determining Fuzzy Link Quality Membership Functions in Wireless Sensor Networks

Determining Fuzzy Link Quality Membership Functions in Wireless Sensor Networks

cluster-head election in wireless sensor networks using fuzzy logic

a wireless sensor network consists of many inexpensive sensor nodes that can be used toconfidently extract data from the environment .nodes are organized into clusters and in each cluster all non-cluster nodes transmit their data only to the cluster-head .the cluster-head transmits all received data to the base station .because of energy limitation in sensor nodes and energy reduction in each d...

Asymmetry-Aware Link Quality Services in Wireless Sensor Networks

Recent studies in wireless sensor networks (WSN) have observed that the irregular link quality is a common phenomenon, rather than an anomaly. The irregular link quality, especially link asymmetry, has significant impacts on the design of WSN protocols. In this paper, we propose two asymmetry-aware link quality services: the neighborhood link quality service (NLQS) and the link relay service (L...

Link-Quality Measurement and Reporting in Wireless Sensor Networks

Wireless Sensor networks (WSNs) are created by small hardware devices that possess the necessary functionalities to measure and exchange a variety of environmental data in their deployment setting. In this paper, we discuss the experiments in deploying a testbed as a first step towards creating a fully functional heterogeneous wireless network-based underground monitoring system. The system is ...

Impact of Energy and Link Quality Indicator with Link Quality Estimators in Wireless Sensor Networks

The Link Quality Indicator (LQI) and Residual Energy have a fundamental impact on the network performance in Wireless Sensor Networks (WSNs) and affects as well in the life time of nodes. This paper will provide a comparative of Link Quality Estimator, the Link Quality Estimator with Link Quality Indicator and Link Quality Estimator with Residual Energy. In this paper we develop a Collect Tree ...