Devices existing within a wireless sensor system are small in size and their battery capacities are very limited. In addition, diverse channel environments may be configured for them. To overcome various constraints and efficiently utilize the energy of sensor nodes, transmission power control (TPC) technology may be employed. This paper describes our attempt to resolve problems with existing TPC algorithms, reduce the number of unnecessary changes in transmission power level (TPL) using the slope value of linear regressed equation, and present an algorithm for deriving TPL in a fast and appropriate manner. Through an experiment, in this study, we not only derive proper weight value of the proposed algorithm but also compare its performance with that of existing algorithms by analyzing the numbers of control packets, drop packets, and energy consumption.
In wireless body sensor system, various multipath environments can be established because sensor nodes can be moved to many locations as it is deployed in parts of the human body. This study compared and analyzed changes of the received signal strength (RSS) in various experimental locations, such a ground site, corridor, and room, as an actual sensor device is attached to a human body. Experimental results showed that the room, which contained many multipaths, exhibited the best RSS. The ground site, which had the lowest number of multipaths, registered the worst RSS. On the basis of these findings, we conclude that the design of body sensor systems should consider the presence of multipaths in various experimental locations.
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