Coverage hole recuperation in multi-tier hierarchical structure WSN.

Wireless Sensor Network consist thousand number of intelligent tiny sensor nodes that form a self-sustainable and self-organising network. These network offers various potential interdisciplinary applications such as in infrastructure development for smart cities, critical health care, precision agriculture etc. Recent technological development has steered up demand of pervasive networks in day-to-day life. However, the fast pace development of wireless sensor network is hampered by few constraints like coverage problem and connectivity issues between nodes that in turn affects network lifetime. Strategic deployments of sensor nodes help in providing some pre-determined number of nodes in ensuring optimal or suboptimal coverage in designated field that also prolong network lifetime. Since maximum coverage with ensured connectivity are two separate issues, however together either they are addressed for finding set of most probable location of nodes or to density of nodes for utmost coverage of event in monitored area. These coverage cavities cause connectivity issues between normal nodes, router nodes and gateway nodes affecting performance of nodes opens interesting research thrusts. Here in this paper an approach has been presented in calculating critical points at boundary of region of interest (ROI) for multi-tier hierarchical network to detect and recovery from coverage cavities and attain long life for network. [ABSTRACT FROM AUTHOR]