Mobility assisted spectrum aware routing protocol for cognitive radio ad hoc networks

Abedi, Omid; Berangi, Reza

doi:10.1631/jzus.c1200334

Cited by 7 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Researchers of ad hoc networks are studying methods of using mobility metrics for predicting movement of nodes in the face of topology changes. The most popular mobility prediction method lets nodes estimate link expiration times along routes using information from Global Positioning System (GPS) [1].…”

Section: Cognitive Radio Information Management In Ad Hoc Networkmentioning

confidence: 99%

“…Another group [1] investigated the effect of network parameters, such as updating interval, nodes speed, transmission range, network density and network size on the performance of a geographical routing protocol. Since this protocol uses location information to find routes, the accuracy of this information has significant effect on the routing performance.…”

Section: Cognitive Radio Information Management In Ad Hoc Networkmentioning

confidence: 99%

“…Since this protocol uses location information to find routes, the accuracy of this information has significant effect on the routing performance. Using mobility prediction for clustering, another group predicts the mobility metrics (speed and direction) using power of received signals and Doppler shifts to estimate life time of cluster connections [1].…”

Section: Cognitive Radio Information Management In Ad Hoc Networkmentioning

confidence: 99%

See 2 more Smart Citations

Dynamic fair node spectrum allocation for ad hoc networks using random matrices

et al. 2015

View full text Add to dashboard Cite

Dynamic Spectrum Access (DSA) is widely seen as a solution to the problem of limited spectrum, because of its ability to adapt the operating frequency of a radio. Mobile Ad Hoc Networks (MANETs) can extend high-capacity mobile communications over large areas where fixed and tethered-mobile systems are not available. In one use case with high potential impact, cognitive radio employs spectrum sensing to facilitate the identification of allocated frequencies not currently accessed by their primary users. Primary users own the rights to radiate at a specific frequency and geographic location, while secondary users opportunistically attempt to radiate at a specific frequency when the primary user is not using it. We populate a spatial radio environment map (REM) database with known information that can be leveraged in an ad hoc network to facilitate fair path use of the DSA-discovered links. Utilization of high-resolution geospatial data layers in RF propagation analysis is directly applicable. Random matrix theory (RMT) is useful in simulating network layer usage in nodes by a Wishart adjacency matrix. We use the Dijkstra algorithm for discovering ad hoc network node connection patterns. We present a method for analysts to dynamically allocate node-node path and link resources using fair division. User allocation of limited resources as a function of time must be dynamic and based on system fairness policies. The context of fair means that first available request for an asset is not envied as long as it is not yet allocated or tasked in order to prevent cycling of the system. This solution may also save money by offering a Pareto efficient repeatable process. We use a water fill queue algorithm to include Shapley value marginal contributions for allocation.

show abstract

Section: Cognitive Radio Information Management In Ad Hoc Networkmentioning

confidence: 99%

Section: Cognitive Radio Information Management In Ad Hoc Networkmentioning

confidence: 99%

Section: Cognitive Radio Information Management In Ad Hoc Networkmentioning

confidence: 99%

See 1 more Smart Citation