This document summarizes research on barrier coverage in directional sensor networks. It defines barrier coverage as using sensor networks to detect any intruders attempting to cross a barrier. While most previous work assumed sensors have isotropic sensing, some applications like video cameras use directional sensing. The paper categorizes research on strong vs weak barriers, 1 vs k barriers, worst vs best case coverage, and different types of view coverage. It aims to define the characteristics of directional sensing and classify existing work on barrier coverage problems in these networks.

1. A Surveyon Barrier CoverageProblem in Directional Sensor Networks
Abstract:
Barrier coverage guarantees to detect any intruder attempting to cross the
barrier of sensor networks. In the majority of studies on barrier coverage
using wireless sensor networks, sensors are assumed to have an isotropic
sensing model. However, in certain applications like monitoring a region
using video cameras, the sensors have directional sensing model. The
nature of directional sensor networksdemands novel algorithms and
solutions. In directional sensor networks, this paper starts from the concept
and characteristics of a directional sensing model, and then summarizes the
sensing properties and behaviors of directional sensors. In particular, we
classify the existing research results into different categories, such as strong
barrier and weak barrier, 1-barrier and k-barrier, worst and best-case
coverage and exposure path coverage, any-view coverage and full-view
coverage, and overview each category in terms of problem definition,
assumption, usage, solution, and performance. Finally, the open research
problems to be solved and future work are also discussed.