Energy-efficient routing optimization algorithm in WBANs for patient monitoring

被引:9
|
作者
Panhwar, Muhammad Aamir [1 ,2 ]
Liang, Deng Zhong [1 ]
Memon, Kamran Ali [1 ]
Khuhro, Sijjad Ali [3 ]
Abbasi, Muhammad Aashed Khan [4 ]
Noor-ul-Ain [5 ]
Ali, Zulfiqar [6 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing, Peoples R China
[2] Mehran Univ Engn Technol, Jamshoro, Pakistan
[3] Univ Sci & Technol China, Sch Comp Sci & Technol, Hefei, Peoples R China
[4] Prince Sultan Univ, Riyadh, Saudi Arabia
[5] Beijing Univ Posts & Telecommun, Sch Informat Commun Engn, Beijing, Peoples R China
[6] Dawood Univ Engn & Technol, Karachi, Pakistan
关键词
WBAN; Energy; Health monitoring; Genetic algorithm; Dead nodes; BODY SENSOR NETWORKS; PROTOCOL;
D O I
10.1007/s12652-020-02541-7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the recent technological innovations for measuring the physiological characteristics in the human body, Wireless Body Area Networks (WBANs) have received much attention from the industry and academics. One of the feasible solutions provided by today's WBAN is the continuous health monitoring in which sensors planted in various parts of the body, which measure and send information about physiological health status to a sink. The energy constraint WBAN has to perform these measurements with minimum energy consumptions of the nodes, maintaining the durable health monitoring process. This paper uses the meta-heuristic Genetic Algorithm (GA) to select the best routing path by calculating distances between the nodes under multiple scenarios, in contrast to the available direct distance optimization method. This study considers the use of energy by sensor nodes, number of rounds, number of sensors, the position of the deployed sensors and distance between the sensors. The comprehensive results show that direct distance optimization method drops more packets, i.e. 12,000 as compared to 8000 packets by the genetic algorithm when 8000 rounds were executed. The proposed optimization also outperforms the previous approach in terms of the number of dead nodes, which results in saving the energy to increase the lifetime of the WBAN significantly.
引用
收藏
页码:8069 / 8081
页数:13
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