Microstrip patch antennas are the most one used for wireless communication. Its main characteristics are narrow in bandwidth, feasibility in cost, fabrication is easier. This paper describes about the analysis in different type of microstrip patch antennas with different frequency band. A dual frequency microstrip patch antenna, Star shaped patch antenna, E-shaped patch antenna, Octagonal shaped patch antenna are taken into account has been used in various wireless communication. Sometimes, the patch antennas are called UWB antenna if the same covers wide range of frequencies.
This paper is aimed at the selection of encoding scheme for low power baseband transceiver IC for Wireless Body Area Network. In WBAN power consumption is necessary thing these days. To provide power consumption various designs are implemented . In this paper a low power baseband Transceiver IC is designed with different coding schemes like Hamming, BCH, LDPC codes and their power consumption are measured and compared. The results show that Low Density Parity Codes (LDPC) yields low power consumption among other coding schemes. The proposed method is simple and proves when applied for selection of effective power management coding scheme in Transceiver IC for WBAN. This coding scheme will be power efficient and also produces perfect error checking among other error checking codes taken in this paper.
A WSN system incorporates a gateway that provides wireless connectivity back to the wired world and distributed nodes. Many existing schemes were utilized for the purpose of increasing the data gathering capacity of sensor nodes from source to sink node. But the existing schemes suffered from maximum distance problem of reaching the sink node. Hence, to overcome those issues, we propose an energy efficient data gathering technique in WSN. Initially, in this paper, the sensor nodes are clustered using LEACH protocol. After the clustering process, cluster heads (CHs) are selected. These selected CHs in all the clusters are used for transferring the messages to the mobile node for data gathering. Then, optimal data transmission path is selected with the help of Optimal Minimum Covering Spanning Tree (OMST) algorithm. The OMST algorithm enhances data gathering and reduces the duration for reaching the sink node via selection of polling points. For reducing time complexity in MST, an efficient optimization algorithm is used. For an optimization purpose, particle gene swarm (PGS) model is used. From the experimental results, the proposed method achieved better results than the existing method in terms of energy, overhead, delay, delivery ratio, NLT and throughput.
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