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In this paper, we demonstrate how a Markov Random Field (MRF) based framework can be used for multihop networks analysis and design. In fields such as image processing it has been shown that MRFs is a powerful tool to analyse distributed systems with strong spacial interactions, which is also a defining characteristic of multihop networks. In this work we focus on using MRFs to model traffic intensity...
Localization is the foundation of several techniques and applications and plays an important role in Wireless sensor network (WSN). A variety of localization algorithms are based on Received Signal Strength Indicator (RSSI). Although the RSSI-based localization technology needs no additional hardware, the accuracy of this method could not meet the requirements of some applications. A novel Localization...
The routing performance in Mobile Ad-hoc Networks (MANETs) relies on the co-operation of the individual nodes that constitute the network. The existence of misbehaving nodes may paralyze the routing operation in MANETs. To overcome this behavior, the trustworthiness of the network nodes should be considered in the route selection process combined with the hop count. The trustworthiness is achieved...
In this paper, a new general ad hoc wireless network model where each node may transmit and receive simultaneously in the difference frequency band is proposed, which is different from the Toumpis-Goldsmith's ad hoc network model where nodes cannot transmit and receive at the same time. Based on this new model, a new expansion expression of the capacity region for the ad hoc wireless networks with...
In Ad Hoc network, all the network functions count on node cooperation. Forwarding packets of other nodes is a basic example of such cooperation. However, nodes may not be interested in forwarding the requesting packets due to selfish or malicious reasons, which significantly degrades the network performance. Therefore, in respect of node forwarding process, we propose a global punishment-based repeated-game...
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...
We study a fully distributed, reactive algorithm for deployment and maintenance of a mobile communication backbone that provides an area around a network gateway with wireless network access for higher-level agents. Possible applications of such a network are distributed sensor networks as well as communication support for disaster or military operations. The algorithm has minimalist requirements...
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