Abstract:
In this paper, an algorithm for optimizing the transmission protocol which considers the weights of transmission nodes in a wireless body area network (WBAN) is studied. ...View moreMetadata
Abstract:
In this paper, an algorithm for optimizing the transmission protocol which considers the weights of transmission nodes in a wireless body area network (WBAN) is studied. The source broadcasts the radio frequency (RF) signal to transmit wireless energy to all other nodes in the system, and then the relay and sensors collect energy. Using the energy harvested, each sensor transmits information data back to the source in turn by time division multiple access (TDMA). Since the importance of sensors in the transfer network is different, in this process, the weighted throughput proposed in this paper can better reflect the system's information transmission efficiency. Motivated by this, a joint weights optimizing time slot allocation protocol (JWTA) is proposed. The specific weight of each sensor is based on the analytic hierarchy process algorithm (B-AHP). When dynamically selecting several sensors to form a certain communicating network, we can quantitatively calculate the physiological weight value of each node in current network through this algorithm. That weight value can directly reflect the importance of physiological signals collected by the detecting sensor to human health. With this foundation, this paper reallocates transmission time slots combining with the obtained weights, which also optimizes the traditional time switching (TS) protocol. The simulation result shows that the weighted throughput of the JWTA protocol is significantly better than that of the classic algorithm (that is, optimizing time slots individually) and equally assigned transmitting time slot algorithm. The influence of various system parameters is also analyzed.
Published in: IEEE Transactions on Vehicular Technology ( Volume: 70, Issue: 2, February 2021)