A Genetic Algorithm with Immigrants Schemes for Constructing a σ-Reliable MCDS in Probabilistic Wireless Networks
Department
Computer Science
Document Type
Article
Publication Date
1-1-2014
Abstract
Minimum Connected Dominating Sets (MCDSs) are used as virtual backbones for efficient routing and broadcasting in wireless networks extensively. However, the MCDS problem is NP-Complete even in Unit Disk Graphs. Therefore, many heuristic-based approximation algorithms have been proposed recently. In these approaches, networks are deterministic where two nodes are assumed either connected or disconnected. In most real applications, however, there are many intermittently connected wireless links called lossy links, which only provide probabilistic connectivity. For wireless networks with lossy links, we propose a Probabilistic Network Model (PNM). Under this model, we measure the quality of Connected Dominating Sets (CDSs) using CDS reliability defined as the minimum upper limit of the node-to-node delivery ratio between any pair of dominators in a CDS. We attempt to construct a MCDS while its reliability is above a preset applicationspecified threshold σ, called σ-Reliable MCDS(σ-RMCDS).We claim that constructing a σ-RMCDS is NP-Hard under the PNM model. We propose a novel Genetic Algorithm (GA) with immigrants schemes called RMCDS-GA to solve the σ-RMCDS problem. To evaluate the performance of RMCDS-GA, we conduct comprehensive simulations. The simulation results show that compared with the traditional MCDS algorithms, RMCDS-GA can construct a more reliable CDS without increasing the size of a CDS.
Journal Title
Ad Hoc & Sensor Wireless Networks
Journal ISSN
1552-0633
Volume
20
Issue
3
First Page
153
Last Page
178