Research Article
Swarm-Based Decentralized Memory Sharing for Resilient Wireless Sensor Deployments
Issue:
Volume 11, Issue 2, April 2026
Pages:
16-19
Received:
1 December 2025
Accepted:
29 December 2025
Published:
27 March 2026
Abstract: Wireless sensor networks are increasingly used in monitoring and safety?critical environments, where data must be preserved even if nodes fail. Nodes can die from battery depletion, hardware faults, or harsh conditions, breaking routes and permanently losing the measurements stored on them. Traditional designs often rely on fixed routes and central sinks, so failure of key nodes disrupts connectivity and destroys locally held data. The proposed work introduces a swarm-based decentralized memory sharing scheme that adds a lightweight redundancy layer. Each node stores its own readings and also keeps small, encoded fragments of data from nearby nodes. Periodically, sensed data are split into multiple erasure-coded fragments, and subsets are shared with neighbours, which buffer them in limited memory. If a node stops sending heartbeats and is considered failed, surviving neighbours forward their stored fragments to a recovery point, where the original readings are reconstructed as long as enough fragments arrive. Simulations show that this approach significantly improves post-failure data recovery compared to a conventional architecture, while keeping communication and energy overhead much lower than full data replication, making it well-suited for long-lived industrial, environmental and safety-critical monitoring deployments.
Abstract: Wireless sensor networks are increasingly used in monitoring and safety?critical environments, where data must be preserved even if nodes fail. Nodes can die from battery depletion, hardware faults, or harsh conditions, breaking routes and permanently losing the measurements stored on them. Traditional designs often rely on fixed routes and central...
Show More
Research Article
Coordinated Validation Under Temporal Constraint: Explaining Early-Stage Health Technology Venture Progression in Rwanda
Stanley Mukasa*
,
Sixbert Sangwa
Issue:
Volume 11, Issue 2, April 2026
Pages:
20-30
Received:
7 April 2026
Accepted:
16 April 2026
Published:
24 April 2026
DOI:
10.11648/j.ajetm.20261102.12
Downloads:
Views:
Abstract: Background: Why promising health technology ventures stall between product development and real-world deployment remains insufficiently explained in entrepreneurship research. Market-centric models emphasize experimentation, customer discovery, and product-market fit, but these mechanisms are less explanatory where access to users, clinical settings, and procurement channels is institutionally mediated. Methods: This study develops a process explanation of venture progression in regulated health innovation settings. Drawing on institutional theory, innovation systems research, and process views of entrepreneurship, it uses a longitudinal comparative case design to analyze early-stage health technology ventures in Rwanda over an 18-month observation window. The empirical material comprises venture milestone plans, periodic progress reports, observational notes, and documented interactions with regulatory, clinical, and institutional actors. Results: Venture progression was not explained primarily by technical capability, entrepreneurial effort, or early market interest. Rather, outcomes varied according to whether ventures achieved coordinated validation across interdependent regulatory, clinical, and institutional domains. Three recurrent pathway configurations were identified: sequential alignment, associated with forward progression; temporally constrained alignment, associated with delayed progression despite coherent sequencing; and fragmented progression, associated with stagnation. The findings show that legitimacy in regulated health innovation settings is multi-domain, threshold-based, and time-dependent. Conclusion: The study advances the concept of coordinated validation under temporal constraint to explain how ventures move, or fail to move, from development to deployment when market entry depends on synchronized institutional approval. It contributes to entrepreneurship and innovation theory by reframing venture progression in regulated environments as a coordination problem rather than a pure capability problem. Rwanda serves as a revealing case because its comparatively coordinated health system makes the underlying synchronization problem especially visible.
Abstract: Background: Why promising health technology ventures stall between product development and real-world deployment remains insufficiently explained in entrepreneurship research. Market-centric models emphasize experimentation, customer discovery, and product-market fit, but these mechanisms are less explanatory where access to users, clinical setting...
Show More
