Open AccessBook Chapter10.1201/9781420064216-16

Cognitive Routing Models

- 24 Dec 2008

- pp 235-255

About: The article was published on 24 Dec 2008. and is currently open access. The article focuses on the topics: Routing (electronic design automation).

AI Agents for this Paper

Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps

Most frequently asked questions

1. What have the authors stated for future works in "Cognitive routing models" ?

Addressing such challenges will be the main subject of their future research activities on this topic.

2. What have the authors contributed in "Cognitive routing models" ?

This chapter investigates the effect of introducing cognitive mechanisms in the routing function of a wireless network.. First, a review of existing proposals for introducing cognition in the routing process is presented.

Table 1.3. Cost function coefficient sets.

Fig. 1.2. Spatial power distribution in the case of minimum energy route selection strategy. Brighter spots on the map correspond to higher average spatial power density levels. Note that compared to Figure 1.1 this route selection strategy reduces the average spatial power density.

Fig. 1.1. Spatial power distribution in the case of minimum number of hops route selection strategy. Brighter spots on the map correspond to higher average spatial power density levels.

Fig. 1.4. Example of a topology sensitive minimum-energy route between nodes 0 and 8. Note that compared to Figure 1.3 this route avoids highly interfered nodes such as node 9.

Fig. 1.6. Throughput for the coefficient sets defined in Table 1.3.

Citations

Journal Article•10.1109/TCCN.2016.2566643

Cross-Layer Analysis in Cognitive Radio—Context Identification and Decision Making Aspects

Adrian Kliks, +5 more

- 01 Dec 2015

- IEEE Transactions on Cognitive Communica...

TL;DR: This work delivers a detailed, yet concise classification and description of the information exchanged in a CR network between the layers of a generic protocol stack, and between each layer and the CE.

...read moreread less

References

•Journal Article•10.1109/35.925682

Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks

Chai-Keong Toh

- 01 Jun 2001

- IEEE Communications Magazine

TL;DR: This work presents a new power-aware routing protocol to satisfy two constraints simultaneously of the power consumption rate of each node and the overall transmission power for each connection request, and compares the performance of different types of power-related routing algorithms via simulation.

...read moreread less

1.2K

Proceedings Article•10.1109/ICC.2007.1075

Joint On-Demand Routing and Spectrum Assignment in Cognitive Radio Networks

Geng Cheng, +3 more

- 24 Jun 2007

TL;DR: A node analytical model is proposed to describe the scheduling-based channel assignment progress, which relief the inter-flow interference and frequent switching delay and an on-demand interaction is used to derive a cumulative delay based routing protocol.

...read moreread less

267

Proceedings Article•10.1109/DYSPAN.2007.80

Spectrum Aware On-Demand Routing in Cognitive Radio Networks

Geng Cheng, +3 more

- 01 Apr 2007

TL;DR: This paper proposes an approach to reactively initiate route computing and frequency band selection, and presents a novel multi-flow multi-frequency scheduling scheme for single node to relief the multi- flow interference and frequent switching delay.

...read moreread less

241

•Proceedings Article•10.1109/MILCOM.2005.1605725

Control channel based MAC-layer configuration, routing and situation awareness for cognitive radio networks

Srinivasan Krishnamurthy, +3 more

- 17 Oct 2005

TL;DR: A distributed algorithm for gathering global network topology information for MAC-layer configuration and efficient routing of packets for a cognitive radio (CR) network is proposed.

...read moreread less

171

Journal Article•10.1007/S11036-005-3361-Z

(UWB) 2 : uncoordinated, wireless, baseborn medium access for UWB communication networks

Maria-Gabriella Di Benedetto, +3 more

- 01 Oct 2005

- Mobile Networks and Applications

TL;DR: Results obtained by simulation indicate that (UWB)2 can be successfully applied when the number of users spans from a few tens to about one hundred, for data rates ranging from a a few thousands to a few hundreds of bits per second, confirming that ( UWB) 2 is a suitable and straightforward solution for large networks of terminals using impulse radio for transmission at low bit rates.

...read moreread less

117

...

Expand

Cognitive Routing Models

Chat with Paper

AI Agents for this Paper

Most frequently asked questions

1. What have the authors stated for future works in "Cognitive routing models" ?

2. What have the authors contributed in "Cognitive routing models" ?

Figures

Citations

Cross-Layer Analysis in Cognitive Radio—Context Identification and Decision Making Aspects

References

Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks

Joint On-Demand Routing and Spectrum Assignment in Cognitive Radio Networks

Spectrum Aware On-Demand Routing in Cognitive Radio Networks

Control channel based MAC-layer configuration, routing and situation awareness for cognitive radio networks

(UWB) 2 : uncoordinated, wireless, baseborn medium access for UWB communication networks

Related Papers (5)

Cognitive routing metrics with adaptive weight for heterogeneous ad hoc networks

A QoS Routing Protocol for Cognitive Networks: A QoS Routing Protocol for Cognitive Networks

A Survey on Routing Protocols for Cognitive Radio Networks

A Cognitive Improved Hierarchical AODV Routing Protocol for Cognitive Wireless Mesh Network

CO-TORA on-demand routing protocol for cognitive radio ad-hoc networks