Finding a least hop(s) path subject to multiple additive constraints
Document Type
Article
Publication Date
2-1-2006
Abstract
In this paper, for the purpose of saving network resources, we first introduce and investigate a new problem referred to as the least hop(s) multiple additively constrained path (LHMACP) selection, which is NP-complete. Then, we propose the k-shortest paths Extended Bellman-Ford (k-EB) algorithm, which is capable of computing All Hops k-shortest Paths (AHKP) between a source and a destination. Through extensive analysis and simulations, we show that the heuristic algorithm, based on k-EB, is highly effective in finding a least hop path subject to multiple additive constraints with very low computational complexity; it achieves near 100% success ratio in finding a feasible path while minimizing its average hop count. © 2005 Elsevier B.V. All rights reserved.
Identifier
31144436484 (Scopus)
Publication Title
Computer Communications
External Full Text Location
https://doi.org/10.1016/j.comcom.2005.05.009
ISSN
01403664
First Page
392
Last Page
401
Issue
3
Volume
29
Grant
0435250
Fund Ref
National Science Foundation
Recommended Citation
Cheng, Gang and Ansari, Nirwan, "Finding a least hop(s) path subject to multiple additive constraints" (2006). Faculty Publications. 19061.
https://digitalcommons.njit.edu/fac_pubs/19061
