An efficient algorithm for finding a path subject to two additive constraints
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Transmission-efficient routing in wireless networks using link-state information
Mobile Networks and Applications
Heuristic algorithms for multiconstrained quality-of-service routing
IEEE/ACM Transactions on Networking (TON)
Introduction to Algorithms
Using labeled paths for loop-free on-demand routing in ad hoc networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Concepts of exact QoS routing algorithms
IEEE/ACM Transactions on Networking (TON)
Scalable One Chip Design for a Multiplex Tap with Timestamping
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
TAMCRA: a tunable accuracy multiple constraints routing algorithm
Computer Communications
Quality-of-service routing for supporting multimedia applications
IEEE Journal on Selected Areas in Communications
Distributed quality-of-service routing in ad hoc networks
IEEE Journal on Selected Areas in Communications
Joint multi-cost routing and power control in wireless ad hoc networks
Wireless Networks
Optimized multi constrained path quality of service routing protocol
WSEAS Transactions on Information Science and Applications
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An extended depth-first-search (EDFS) algorithm is proposed to solve the multi-constrained path (MCP) problem in Quality-of-Service (QoS) routing, which is NP-Complete when the number of independent routing constraints is more than one. EDFS solves the general k- constrained MCP problem with pseudo-polynomial time complexity O(m2 ċ EN + N2), where m is the maximum number of non-dominated paths maintained for each destination, E and N are the number of links and nodes of a graph, respectively. This is achieved by deducing potential feasible paths from knowledge of previous explorations, without reexploring finished nodes and their descendants in the process of the DFS search. One unique property of EDFS is that the tighter the constraints are, the better the performance it can achieve, w.r.t. both time complexity and routing success ratio. This is valuable to highly dynamic environment such as wireless ad hoc networks in which network topology and link state keep changing, and real-time or multimedia applications that have stringent service requirements. EDFS is an independent feasible path searching algorithm and decoupled from the underlying routing protocol, and as such can work together with either proactive or on-demand ad hoc routing protocols as long as they can provide sufficient network state information to each source node. Analysis and extensive simulation are conducted to study the performance of EDFS in finding feasible paths that satisfy multiple QoS constraints. The main results show that EDFS is insensitive to the number of constraints, and outperforms other popular MCP algorithms when the routing constraints are tight or moderate. The performance of EDFS is comparable with that of the other algorithms when the constraints are loose.