عنوان انگلیسی مقاله:
A distributed coverage hole recovery approach based on reinforcement learning for Wireless Sensor Networks
ترجمه فارسی عنوان مقاله:
رویکرد بازیابی چاله پوشش توزیع شده مبتنی بر یادگیری تقویتی برای شبکه های حسگر بی سیم
Sciencedirect - Elsevier - Ad Hoc Networks, 101 (2020) 102082. doi:10.1016/j.adhoc.2020.102082
Faten Hajjej a , ∗, Monia Hamdi b , a , Ridha Ejbali a , Mourad Zaied
In Wireless Sensor Networks (WSNs), various anomalies may arise and reduce their reliability and effi- ciency. For example, Coverage Hole can occur in such networks due to several causes, such as damaging events, sensors battery exhaustion, hardware failure, and software bugs. Modern trends to use relocation of deployed sensor nodes when the manual addition of nodes is neither doable nor economical in many applications have attracted attention. The lack of central supervision and control in harsh and hostile en- vironments have encouraged researchers to shift from centralized to distributed node relocation schemes. In this paper, a new game theory approach based on reinforcement learning to recover Coverage Holes in a distributed way is proposed. For the formulated potential game, sensor nodes can recover Coverage Holes using only local acquaintances. To reduce the coverage gaps, the combined action of node repo- sition and sensing range adjustment is chosen by each sensor node. The simulation results prove that, unlike previous methods, the proposed approach can sustain a network overall coverage in the presence of random damage events.
Keywords: WSN | Coverage hole recovery | Game theory | Reinforcement learning | Energy consumption | Coverage