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This chapter is the extended work of the paper titled “Genetic Algorithm for Data Aggregation Trees in Wireless Sensor Networks”, appeared in Proceedings of the Third International Conference on Intelligent Environments (IE), Ulm, Germany, September 24–25, 2007. presents a genetic algorithm (GA) to generate balanced and energy-efficient data aggregation spanning trees for wireless sensor networks...
Orthogonal frequency-division multiplexing (OFDM) is the most effective technique for high speed wireless communication systems. The key challenge of OFDM based transceiver is its large peak to average power ratio (PAPR) due to non-linearity effects of power amplifier at final stage of OFDM transmitter. In this work performance of OFDM system using logical clipper and de-clipper in the OFDM transmitter...
Biosensors based on Si-NW have already demonstrated for the detection of DNA, proteins, pH levels, etc. Although it is generally accepted that Si-NWs with lower doping density and smaller diameter provides better sensitivity, the influence of factors like surrounding environment (air/water) and electrostatic screening due to the ions in the solution on NW sensor, performance needs to be explained...
We use a genetic algorithm (GA) to create energy efficient clusters for routing in wireless sensor networks. The simulation results show that the proposed intelligent hierarchical clustering technique is more energy efficient than a few existing cluster-based routing protocols. Further, the gradual energy depletion in sensor nodes is also investigated
Within the field of wireless sensor networks, one problem area is the limited energy supplies of the sensor nodes. In most situations, it is infeasible to replace the energy supply in each individual node. Thus it becomes important to minimize the energy expenditure of the sensor nodes, to get the maximum performance possible. There have been numerous algorithms to find the data routing schedule that...
With the advancement of micro-sensor and radio technology, wireless sensor networks are deployed in various applications. In a continuous monitoring application, sensors gather information and transmit the sensed data to base station in a periodic manner. In each data gathering round, a node generates a data packet and transmits the packet to base station, or any other node; the data packets received...
Common applications of sensor networks include continuous monitoring where sensors are deployed over a region and the sensed data are gathered at a distant base station periodically. In each round of data gathering, our MITECRO protocol minimizes the total energy consumption of the sensor network. This may however unbalance energy consumption over all sensor nodes. As a result, few nodes may die earlier...
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