GloMoSim: a library for parallel simulation of large-scale wireless networks
PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Data Replication Methods Based on the Stability of Radio Links in Ad Hoc Networks
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Data Replication for Improving Data Accessibility in Ad Hoc Networks
IEEE Transactions on Mobile Computing
A Cluster Based Stable Multicast Routing Protocol in Ad Hoc Network
EUC '08 Proceedings of the 2008 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing - Volume 02
Distributed stochastic optimization in opportunistic networks: the case of optimal relay selection
Proceedings of the 5th ACM workshop on Challenged networks
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Resource replication has been emerging as one of the most widely studied phenomena in a distributed environment. In this paper, we propose a novel distributed approach, named MetroReplica, to achieve the global optimized resource replication. MetroReplica is a Markov Chain Mote Carlo sampling algorithm based on the Metropolis-Hastings algorithm, which never employ the global information but a replication query message transmitted via a limited hops link path. Such message is generated and transmitted to the mobile node to be finally assigned with the allocating replica within at most TTL hops forwarding following the proposed Markov transition matrix. The proof to verify MetroReplica is illustrated in this paper and simulation results suggest a small TTL value, e.g. TTL = 10, is sufficient for an implementation in reality to perform well.