Spatial Context-Aware Service Composition for MANET IoT Applications

Spatial Context-Aware Service Composition for MANET IoT Applications

S. Genois, I. Sorkhoh, M. Maheswaran and D. Naboulsi, “Spatial Context-Aware Service Composition for MANET IoT Applications,” GLOBECOM 2023 – 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 3651-3657, doi: 10.1109/GLOBECOM54140.2023.10437247.

Abstract or Summary

Software-oriented architecture (SOA) is a promising paradigm for efficiently leveraging the functionality of individual IoT devices to build IoT applications. However, deploying SOA for IoT data-gathering applications requires spatial context-awareness and the ability to aggregate similar available services, which presents a challenge. To address this challenge, this paper proposes a formulation for spatial context-aware service composition with a novel quantitative model for spatial context. We demonstrate that incorporating spatial context into service composition is an NP-Hard problem and model it as an integer linear program. We propose two heuristic approaches capable of producing near-optimal solutions in real-time. We implement a simulation of the composition problem to study the performance of our approaches. Our experimental results show that the proposed methods are scalable compared to the branch-and-cut algorithm. These results set a precedent against which future work on solutions to this problem can be compared.

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