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In multi-hop wireless networks, if we know the packet reception rates of all links in the network, we can find the path with the minimum energy consumption. However, to obtain the packet reception rates with high accuracy, we need a number of exchanges of probe packets. Also, the energy consumption along a path depends on a routing method. In this paper, we consider three routing methods and evaluate...
Opportunistic routing has gained much attention in recent years as a means of leveraging the broadcast nature of wireless medium. Most of the previous studies focused only on improving throughput, assuming that Best Effort traffic which is delay insensitive is delivered through opportunistic routing. However, when the delay sensitive traffic is involved, it is necessary to consider both the opportunistic...
In this paper, a general framework, called probability-based solution (PBS), is proposed to balance the trade-off between the accessibility (in terms of the success probability to find a route reaching the destination) and the performance (in terms of spectral efficiency, outage probability or energy consumption) of distributed routing schemes in multi-hop wireless networks. In the PBS, the candidate...
Delay-Tolerant Networks(DTN) are wireless networks where disconnections may occur frequently due to node mobility, power outages and propagation phenomena. In order to achieve data delivery, store-and-forward protocols are used in DTN and routing protocols based on epidemic message dissemination has been proposed, such as Epidemic routing. Under Epidemic routing, packets can be completely delivered...
Although multi-path routing protocols are more complicated to design than single-path based ones, they can be more resilient to route failures. Also, they can achieve a load balancing and hence lower end-to-end delay of transmitted messages in between a source and destination. Such advantages of multi-path routing can be significant in tactical wireless networks, where the messages transmitted are...
In this paper, a greedy sub-channel redistribution routing scheme (GSRRS) is proposed for multi-hop wireless OFDMA networks. In GSRRS, between any two neighboring nodes, different sub-channels are routed over different paths including the direct one-hop path and the two-hop path with one intermediate node. Compared to the traditional routing scheme where all the sub-channels route over the same path,...
In this paper we present a novel technology named dynamic relay handover (DRH) for leveraging DSR and AODV for the benefit of providing a guaranteed network performance. The key points of DRH are the connectivity checking of the existing relay node and the assignment of a new relay node. In simulation of this algorithm based on OPNET Modeler 10.5, the effect of DRH on the network performance and the...
Network topology does not change dynamically in wireless mesh networks. Most of the end-to-end traffic flows are between mesh nodes and gateways. A tree-base routing algorithm is suitable for such network architecture. When using multichannel and multi-interface, routing algorithm and channel assignment is codependent. They should be combined together to fully exploit the network capacity. We propose...
This paper proposes the performance evaluation and comparison of the main topology-based routing protocols commonly used in wireless ad hoc networks: DSDV, OLSR, AODV and DSR in a different environment such as wireless mesh network. It provides an overview of available solutions based on detailed simulation study. The performance comparison is done with regard to the network size, network load and...
Opportunistic routing (OR) schemes, such as ExOR, have been shown to provide significant throughput gains over traditional best-path routing schemes for wireless networks. Though the performance of OR schemes depend on the bit-rate, they currently use a fixed rate for transmitting packets. While several schemes have been proposed for selecting bit-rate for unicast transmission to a single receiver,...
Three applications in wireless networks where model-free stochastic learning is applicable, are discussed. The learning based optimization problems are formulated and simulation results are presented. Some open issues are also discussed.
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