On Efficient Deployment of Wireless Sensors for Coverage and Connectivity in Constrained 3D Space

Document Type

Article

Publication Date

10-10-2017

Abstract

Sensor networks have been used in a rapidly increasing number of applications in many fields. This work generalizes a sensor deployment problem to place a minimum set of wireless sensors at candidate locations in constrained 3D space to k-cover a given set of target objects. By exhausting the combinations of discreteness/continuousness constraints on either sensor locations or target objects, we formulate four classes of sensor deployment problems in 3D space: deploy sensors at Discrete/Continuous Locations (D/CL) to cover Discrete/Continuous Targets (D/CT). We begin with the design of an approximate algorithm for DLDT and then reduce DLCT, CLDT, and CLCT to DLDT by discretizing continuous sensor locations or target objects into a set of divisions without sacrificing sensing precision. Furthermore, we consider a connected version of each problem where the deployed sensors must form a connected network, and design an approximation algorithm to minimize the number of deployed sensors with connectivity guarantee. For performance comparison, we design and implement an optimal solution and a genetic algorithm (GA)-based approach. Extensive simulation results show that the proposed deployment algorithms consistently outperform the GA-based heuristic and achieve a close-to-optimal performance in small-scale problem instances and a significantly superior overall performance than the theoretical upper bound.

Identifier

85063249606 (Scopus)

Publication Title

Sensors Basel Switzerland

External Full Text Location

https://doi.org/10.3390/s17102304

e-ISSN

14248220

PubMed ID

28994749

Issue

10

Volume

17

Grant

1560698

Fund Ref

National Science Foundation

This document is currently not available here.

Share

COinS