Analytical model for predictable contact in intermittently connected cognitive radio ad hoc networks

Abstract

In this article, an analytical model for predictable contact between two cognitive users in the intermittently connected cognitive radio ad hoc networks is proposed. The salient feature of the model is that it establishes a relationship between contact availability and the intermittently connected cognitive radio ad hoc network design parameters including cognitive user transmission range, velocity of cognitive user, direction of cognitive user, velocity of primary user, direction of primary user, and interference radius of primary user. However, a detailed analytical model is not available in the literature up to now. In particular, the relationship between contact availability and interference radius of primary user has not been derived in previous models. To research the contact availability, the concept of contact degree is first proposed to quantify the probability of contact availability between two cognitive users. In addition, the formulation for the contact degree between two cognitive users from different cases is illustrated in detail in this article. Under the contact degree scenario, the continuous effective contact time is derived to examine the communication duration of cognitive users based on the modified random walk mobility model. Finally, the simulation results demonstrate the effectiveness of the proposed analytical model for predictable contact in the intermittently connected cognitive radio ad hoc networks.

Centralized multicasting AODV routing protocol optimized for intermittent cognitive radio ad hoc networks

“…In Geo-routing, packets are broadcasted towards the direction of the zone within which a destination node is likely to be encountered [14]. The Ad Hoc On-Demand Distance vector (AODV) routing algorithm is one of the common MANET routing algorithms [15]. The AODV is being considered for IMCRAHNs and its performance is encouraging.…”

Traffic-predictive QoS on-demand routing for multi-channel mobile ad hoc networks

“…Paper [10] investigates the cross-layer optimization problem of congestion and power control in cognitive radio ad hoc networks (CRANETs) under predictable contact constraint; a predictable contact model is presented by deriving the probability distribution of contact via a mathematical statistics theory; they do not adapt to MANETs. A method of the prediction of link residual lifetime using Kalman filter is proposed for vehicular ad hoc networks in [11]; it focuses on route selection; an analytical model for predictable contact between two cognitive users is proposed in the intermittently connected cognitive radio ad hoc networks [12]; it is based on mobility model, which do not consider the bandwidth usage and channel assignment. The scheme of opportunistic routing with autonomic forwarding angle adjustment (FAOR) is proposed for cognitive radio ad hoc networks in [13], which is a different network model from this paper.…”