Abstract
Wireless rechargeable sensor networks are becoming crucial and important in recent years for the advancement of wireless energy transmission technology. The previous research showed that not all of sensors can be recharged due to the limitation of energy capacity that mobile chargers can carry. If a sensor playing a critical role in a sensing task cannot function as usual due to exhausted energy, then the sensing task will be interrupted. Therefore, this paper proposes a novel recharging mechanism taking the coverage of sensors into consideration such that mobile chargers can recharge the sensor with a high coverage degree and the network lifetime can be efficiently sustained. The coverage degree of each sensor depends on its contribution to the sensing task, including the coverage and connectivity capabilities. Based on the coverage degree, the sensor with a higher coverage degree will be properly recharged to extend the network lifetime. Simulation results show that the proposed mechanism performs better against the related work in network lifetime.
Highlights
Wireless sensor networks (WSNs) have been widely deployed in numerous fields, such as military surveillance and health care monitoring [1,2,3,4]
PERS can recharge the coverage and energy critical sensors with high priority and effectively alleviate the possibility to cause a coverage hole. This scheme may result in a long charging tour and consume much power of mobile charger while walking along the path. We propose another scheme, named e-PERS (Enhanced Priority-based Energy Replenishment Scheme), where we use a k-means clustering algorithm to divide the sensors into k clusters in which the sensors belonging to a cluster are closer than to the other clusters
When the mobile charger can not recharge a sensor, we will use Eq (5) to select a sensor to ignore in this cycle, where C(riu,jn) is the energy consumption of the mobile charger in moving from si to sj and BRi E is the amount of energy the mobile charger uses to recharge si
Summary
Wireless sensor networks (WSNs) have been widely deployed in numerous fields, such as military surveillance and health care monitoring [1,2,3,4]. PERS can recharge the coverage and energy critical sensors with high priority and effectively alleviate the possibility to cause a coverage hole This scheme may result in a long charging tour and consume much power of mobile charger while walking along the path. To avoid this problem, we propose another scheme, named e-PERS (Enhanced Priority-based Energy Replenishment Scheme), where we use a k-means clustering algorithm to divide the sensors into k clusters in which the sensors belonging to a cluster are closer than to the other clusters. The sensors in the green group mean that these sensors can live more than two
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