Wireless Sensor Network-Based Border Security Using A Three-Tiered Hierarchical Surveillance Strategy: Architecture, Security And Deployment Considerations
DOI:
https://doi.org/10.70882/josrar.2026.v3i4.272Keywords:
Wireless Sensor Network, Border Surveillance, Hierarchical Architecture, Edge Artificial Intelligence, Raspberry Pi, MICAz, Intrusion Detection, CybersecurityAbstract
Border regions in Nigeria and the Sub-Saharan African and Sahelian security environment are characterised by expansive terrain, sparse state presence, transnational criminal mobility, irregular telecommunications coverage and a need for timely intelligence. Patrol-centred surveillance remains indispensable, but its reach, endurance and responsiveness are limited across hostile terrain. This design-oriented integrative study proposes a wireless sensor network (WSN)-based border-security system organised through a three-tiered hierarchical surveillance strategy. A synthesis of peer-reviewed studies, routing research, IoT security standards and technical documentation was used to derive operational requirements, identify limitations and formulate a reference architecture. Tier 1 comprises low-power MICAz-class nodes and multimodal sensors for motion, acoustic, seismic, vibration and environmental events. Tier 2 uses Raspberry Pi-based motorised camera nodes for event-triggered image acquisition and lightweight object classification. Tier 3 integrates gateways, secure messaging, geospatial dashboards, incident records and human-authorised response. The design separates continuous low-energy detection from computationally intensive visual confirmation, thereby reducing camera activation, bandwidth use and false-alarm burden. It also incorporates energy-aware clustering, location-informed routing, message buffering, mutual authentication, encrypted transport, signed firmware, network segmentation and degraded-mode operation. Rather than claiming unverified field performance, the paper presents a multidimensional evaluation framework and scenario-based validation model covering detection quality, latency, packet delivery, energy consumption, cybersecurity, maintainability, operator workload and lifecycle cost. The synthesis indicates that sustainable border surveillance depends on coordinated sensing, networking, edge inference, platform services, governance and maintenance. The architecture provides a basis for phased experimentation along national borders, state boundaries, forest reserves and sparsely monitored security corridors.
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