JOURNAL ARTICLE

Multi-Hop D2D Framework for Disaster-Resilient Communication Network

Abstract

This paper presents a disaster-resilient communication network that utilizes multi-hop device-to-device (D2D) communication to connect to active base stations (BSs) outside a disaster-affected area for potential application in fifth-generation (5G) cellular networks. We propose a novel multi-hop D2D framework where user-BS (source-destination) pairing are optimized jointly with routing and scheduling to maximize the number of covered users in the disaster-affected area within a given time frame. The optimization problem is formulated as an integer linear programming (ILP) problem. Further, due to the high time complexity of ILP, a low complexity graph-based scheduling constraint aware routing and pairing (SCARP) algorithm is proposed that results in a significant reduction in processing time as compared to the optimal solution. The proposed algorithm also outperforms shortest path routing (SPR) based scheduling and pairing in terms of users covered in the disaster-affected area.

Keywords:
Computer science Integer programming Computer network Scheduling (production processes) Pairing Shortest path problem Distributed computing Disaster area Base station Linear programming Hop (telecommunications) Graph Mathematical optimization Theoretical computer science Algorithm Mathematics

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
13
Refs
0.16
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Networks and Protocols
Physical Sciences →  Computer Science →  Computer Networks and Communications

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