The Use of Computational Geometry Techniques to Resolve the Issues of Coverage and Connectivity in Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSNs) enhance the ability to sense and control the physical environment in various applications. The functionality of WSNs depends on various aspects like the localization of nodes, the strategies of node deployment, and a lifetime of nodes and routing techniques, etc. Coverage is an essential part of WSNs wherein the targeted area is covered by at least one node. Computational Geometry (CG) -based techniques significantly improve the coverage and connectivity of WSNs. This paper is a step towards employing some of the popular techniques in WSNs in a productive manner. Furthermore, this paper attempts to survey the existing research conducted using Computational Geometry-based methods in WSNs. In order to address coverage and connectivity issues in WSNs, the use of the Voronoi Diagram, Delaunay Triangulation, Voronoi Tessellation, and the Convex Hull have played a prominent role. Finally, the paper concludes by discussing various research challenges and proposed solutions using Computational Geometry-based techniques.

Wireless Sensor Security Issues on Data Link Layer: A Survey

“…2 shows the paper selection mechanism regarding the targeted domain. • Background and statistics (15) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] • Similarities of WSN And IoT (1) [17] • Issues In WSN and IoT frameworks (11) [18][19][20][21][22][23][24][25][26][27][28][29][30][31] • Network security attacks in IoT and WSNs (7) [32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47] • Issues of data link layer [48][49][50]…”

“…It is accomplished by flooding the target with movement or sending it data that causes a collision with its authorized customers by rapidly or uncertainly exacerbating the network of a host connected to the internet. DoS attacks succeed in two ways: they deny authenticated clients access to services they expect [32].…”