Sensing implies the presence of these capabilities in a tightly coupled environment, typically for the measurement of physicalworld parameters. Life time sensitive weighted clustering on wireless sensor networks submitted by elnaz alizadeh jarchlo in partial fulfillment of the requirements for the degree of master of science in information systems, middle east technical university by, prof. Index modulation is applied to clusterbased wireless sensor networks wsns in this study. Wireless sensor networks seminar ppt and pdf report. Energy is vital parameter for communication in internet of things iot applications via wireless sensor networks wsn. Dynamic clustering recognizes the cluster head ch with higher energy for the data transmission. As the key technology, clustering routing protocol can control the node energy to improve the lifetime of. Genetic algorithms with dynamic clustering approach are supposed to be very effective technique in conserving energy during the process of network planning and designing for iot. Pdf index modulation for clusterbased wireless sensor.
Wireless sensor networks wsn provide a bridge between the real physical and virtual worlds allow the ability to observe the previously unobservable at a fine resolution over large spatiotemporal scales have a wide range of potential applications to industry, science, transportation, civil infrastructure, and security. Wireless sensor networks may be considered a subset of mobile adhoc networks manet. A new neighbour selection strategy for group based wireless sensor networks. Wireless sensor network wsnis the very important issue in the wireless network research. Clustering based on neural networks in wireless sensor. Manets have high degree of mobility, while sensor networks are mostly stationary. The aim is to design an efficient decision gathering scheme for targetdetection clusterbased wsns. This page contains wireless sensor networks seminar and ppt with pdf report. Nowadays, wireless sensor networks wsns seen as an emerging technology due to its multi serviceable, low cost and low power sensor nodes, that are deployed randomly and densely over a. Dynamic clustering approach based on wireless sensor. Data aggregation in cluster based wireless sensor networks. Dynamic relocation of mobile base station in wireless sensor networks using a cluster based harmony search algorithm.