language Türkçe
Article Early Access 2024 · 1 citations

Lifetime maximization of wireless sensor networks while ensuring intruder detection

Corapsiz, Muhammed Fatih

Abstract

Wireless sensor networks (WSN) have a wide variety of application areas and one of these areas is border crossing security. Unauthorized crossing of border areas, unauthorized arms and drug trafficking can be avoided at a lower cost and easier than conventional methods by monitoring the borders with the help of a WSN. In this study, we offer a mathematical model that guarantees the detection of possible intruders by scheduling the activities of the sensors whatever the route the intruder follows throughout the border zone or whatever the time the intruder enters to the route. To achieve the highest possible WSN management efficiency, we integrate coverage, routing, data routing, and sensor scheduling WSN design issues into the mathematical model. We first demonstrate the effectiveness of scheduling the sensors by the help of the offered mathematical model by comparing it against a random activity schedule of the sensors with respect to network lifetime and intruder detection ratio performance measures. We also develop a Lagrangean heuristic strategy to solve realistic sized instances of the proposed problem. We produce several random border zone instances with varying sizes and test the proposed solution strategy to illustrate the effectiveness of the offered solution strategy by comparing its performance against the performance of a commercial mixed-integer linear programming (MILP) solver.

Keywords
Activity scheduling Controlled sink mobility Intruder detection Energy efficiency Lifetime maximization DISTRIBUTED ALGORITHM TARGET TRACKING SINK LOCATION MOBILE SINK PLACEMENT COVERAGE DECOMPOSITION DEPLOYMENT DESIGN PATH
WoS Categories
Computer Science, Artificial Intelligence Computer Science, Interdisciplinary Applications
Citation
Journal
SOFT COMPUTING
Year
2024
ISSN
1432-7643
eISSN
1433-7479
DOI
10.1007/s00500-024-09692-1
WoS UID
WOS:001155739200002
Open via DOI