@Article{cmc.2020.08674,
AUTHOR = {Jin Wang, Yu Gao, Chang Zhou, R. Simon Sherratt, Lei Wang},
TITLE = {Optimal Coverage Multi-Path Scheduling Scheme with Multiple Mobile Sinks for WSNs},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {62},
YEAR = {2020},
NUMBER = {2},
PAGES = {695--711},
URL = {http://www.techscience.com/cmc/v62n2/38271},
ISSN = {1546-2226},
ABSTRACT = {Wireless Sensor Networks (WSNs) are usually formed with many tiny sensors 
which are randomly deployed within sensing field for target monitoring. These sensors 
can transmit their monitored data to the sink in a multi-hop communication manner. 
However, the ‘hot spots’ problem will be caused since nodes near sink will consume 
more energy during forwarding. Recently, mobile sink based technology provides an 
alternative solution for the long-distance communication and sensor nodes only need to 
use single hop communication to the mobile sink during data transmission. Even though
it is difficult to consider many network metrics such as sensor position, residual energy 
and coverage rate etc., it is still very important to schedule a reasonable moving trajectory 
for the mobile sink. In this paper, a novel trajectory scheduling method based on 
coverage rate for multiple mobile sinks (TSCR-M) is presented especially for large-scale 
WSNs. An improved particle swarm optimization (PSO) combined with mutation 
operator is introduced to search the parking positions with optimal coverage rate. Then 
the genetic algorithm (GA) is adopted to schedule the moving trajectory for multiple 
mobile sinks. Extensive simulations are performed to validate the performance of our 
proposed method.},
DOI = {10.32604/cmc.2020.08674}
}