Maximizing packet delivery ratio in stochastic routing: An analytical perspective

Autor: Udara Wijetunge, Sylvie Perreau, Andre Pollok, Ramanan Subramanian
Přispěvatelé: Wijetunge, Udara Sadathana, Subramanian, Ramanan, Pollok, Andre, Perreau, Sylvie Luce, Ad-hoc and Sensor Networking Symposium Sydney, Australia 2014-06-10
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Routing protocol
Mathematical optimization
Dynamic Source Routing
deterministic routing
Equal-cost multi-path routing
Computer science
Routing table
Enhanced Interior Gateway Routing Protocol
Wireless Routing Protocol
theoretical framework
Geographic routing
La-grangian approaches
Routing Information Protocol
packet delivery ratio
Computer Science::Networking and Internet Architecture
Destination-Sequenced Distance Vector routing
performance comparison
Hierarchical routing
Triangular routing
Stochastic geometry models of wireless networks
degree of randomness
Static routing
Zone Routing Protocol
iterative algorithm
Network packet
Policy-based routing
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
acyclic networks
Deterministic routing
Distance-vector routing protocol
Link-state routing protocol
Optimized Link State Routing Protocol
Multipath routing
Wireless sensor network
Zdroj: ICC
Popis: Stochastic routing offers a promising substitute to deterministic routing in wireless sensor networks, mainly due to its randomized nature. Still, most of the stochastic routing algorithms are heuristic, while the optimality for a given degree of randomness is difficult to find. In this paper, we propose a theoretical framework to find the optimal stochastic routing policy that maximizes the packet delivery ratio for a given degree of randomness in routing. Our model consists of directed acyclic networks with unreliable communication links. The degree of randomness is quantified by the global entropy of routing. By employing the Lagrangian approach, a simple iterative algorithm to find the optimal stochastic routing policy is proposed. This can be used as a benchmark for performance comparison of stochastic routing algorithms. Refereed/Peer-reviewed
Databáze: OpenAIRE