Abstract
This article presents comparison between data rate or rate control, that is, video transmission rate control algorithm and transmission power control algorithms for two different cases. First, energy consumption due to high peak variable data rates in video transmission. Second, energy depletion due to high transmission power consumption and dynamic nature of wireless on-body channel. The former one focuses on constant (fixed) transmission power level and variable data rate (“severe” conditions), for example, medical monitoring of the emergency patients. The latter considers variable transmission power level and constant (fixed) data rate (“less severe” conditions), for example, electrocardiography measurement for patients in wireless body sensor networks. Besides, energy efficiency comparison analysis of battery-driven or video transmission rate control algorithm and transmission power control–driven or power control algorithm is presented. Finally, proposed algorithms are analyzed and categorized as energy-efficient and battery-friendly for medical applications in wireless body sensor networks.
Highlights
This article presents comparison between data rate or rate control, that is, video transmission rate control algorithm and transmission power control algorithms for two different cases
If overall energy drain at transmitter node and base station (BS) is taken into account, the energy efficiency will not be more than 50% because transmission power control (TPC) is not participating in energy-saving at the BS
The revolution is only possible after deploying quadrature modulator; power drain will not be enlarged at large extent in the transceiver while tuning from p/2 differential binary phase shift keying (DBPSK) to p/2 differential quadrature phase shift keying (DQPSK)
Summary
We divided the related work of several researchers into three important techniques of energy-saving in WBSNs, which are categorized as follows. Known earlier.[30,31,37] When any sensor node transmits data, it consumes energy, and a main focus is to develop the energy-efficient communication system to extend the battery lifetime of WBSNs. Figure 4 shows the power consumption in three different states: sleep state, idle state, and active state. Q Zhang[45] presents the energy-saving comparison between power control and link adaptation; besides that author used frequency synthesizer–based power consumption model with M-ary modulation This will not take place in the case of transmitters compatible to IEEE 802.15.6 standard because they used high data rate binary modulation schemes containing a p/2 twisted form of a differential binary phase shift keying (DBPSK).[45] The revolution is only possible after deploying quadrature modulator; power drain will not be enlarged at large extent in the transceiver while tuning from p/2 DBPSK to p/2 differential quadrature phase shift keying (DQPSK). We assume that power drain at the transmitter and BS is to be constant
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