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Fog Device Deployment for Enhanced Edge Communication and Network Cohesion using JAYA

delete2026-05-02
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PRE
AI
R
Rashmi Keshri
S
Satveer Singh
D
Deo Prakash Vidyarthi *
DOI:10.1007/s10723-026-09832-xdelete
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Abstract

Abstract

En 中文
Fog computing extends cloud capabilities to the network edge, enabling low-latency and context-aware service delivery for IoT applications. Deployment of the Fog devices plays a major role in offering the optimal services to the end users. While existing Fog Device Deployment (FDD) strategies focus on maximising connectivity and edge coverage, they often overlook logical edge-to-edge communication and network cohesion. This work extends the existing JAYA based FDD model by deriving a modified fitness formulation that penalises fragmented networks using disjoint edge clusters and includes logical edge-edge communication through shared fog nodes. A detailed comparison of these two fitness functions exhibits that the proposed formulation produces much more cohesive and well-connected Fog device network. A comparative analysis on synthetic topologies demonstrates superior cohesion, reduced fragmentation, and smoother convergence, validating the proposed improvements.
Keywords:
Fog device deployment
Fog connectivity
Edge device coverage
JAYA Algorithm
Quality of service (QoS)
Communication technologies

Journal

Journal of Grid Computing cover
Journal of Grid Computing
IF:
2.9
Papers:
759
Citations:
1.2K

Organization

S
School of Computer and Systems Sciences
Scholars:
14
Papers: 8
Citations: 0
J
jk lakshmipat university
Scholars:
7
Papers: 7
Citations: 0
S
school of computer science
Scholars:
287
Papers: 119
Citations: 0
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