SAMCAR: Spectrum Aware Multi-Coefficient based shortest Anypath Routing in Cognitive Radio Networks

Wireless communication technology has grown tremendously with an advancement of better communication quality. The communication quality depends on the available spectrum bands but due to increased demand, the spectrum scarcity has become a challenging issue. Besides, insignificant spectrum utilization in a wireless network degrades the performance issues. Recently dynamic spectrum management is proposed as a recommended solution by Federeal Communication Commission (FCC) which can enhance the spectrum management. Owing to this spectrum management, Cognitive Radio networks converging to offer possible solution. Accordingly, in this paper, we look at Cognitive Capacity Harvesting network and developed a mult-hop cognitive radio network routing protocol. The proposed routing protocol Multi-Coefficient based Shortest Anypath Routing (MCSAR) is devised based on the link quality, energy consumption and trust values for identifying the next-hop. Additionally, we incorporate the improved Bellman-Ford algorithm for further optimization of the communication. Generally, anypath routing provides two optimal paths in which selection of one optimal path becomes a challenging issue. In order to overcome this issue, we propose priority weight computation where distance from current node to destination node and its trust factors are considered for forwarding node selection. The performance of proposed approach is compared against conventional/existing anypath routing schemes. The extensive simulation result obtained ensures better efficiency in terms of packet delivery ratio, overhead of communication and

Cross-layer aided energy-efficient routing design for ad hoc networks

In this treatise, we first review some basic routing protocols conceived for ad hoc networks, followed by some design examples of cross-layer operation aided routing protocols. Specifically, cross-layer operation across the PHYsical layer (PHY), the Data Link layer (DL) and even the NETwork layer (NET) is exemplified for improving the energy efficiency of the entire system. Moreover, the philosophy of Opportunistic Routing (OR) is reviewed for the sake of further reducing the system's energy dissipation with the aid of optimized Power Allocation (PA). The system's end-to-end throughput is also considered in the context of a design example

Design and analysis of routing protocol for cognitive radio ad hoc networks in Heterogeneous Environment

Multi-hop routing protocol in cognitive radio mobile ad hoc networks (CRMANETs) is a critical issue. Furthermore, the routing metric used in multi-hop CRMANETs should reflect the bands availability, the links quality, the PU activities and quality of service (QoS) requirements of SUs. For the best of our knowledge, many of researchers investigated the performance of the different routing protocols in a homogeneous environment only. In this paper, we propose a heterogeneous cognitive radio routing protocol (HCR) operates in heterogeneous environment (i.e. the route from source to destination utilize the licensed and unlicensed spectrum bands). The proposed routing protocol is carefully developed to make a tradeoff between the channel diversity of the routing path along with the CRMANETs throughput. Using simulations, we discuss the performance of the proposed HCR routing protocol and compare it with the AODV routing protocol using a discrete-event simulation which we developed using JAVA platform

A Study of Energy-efficient Routing Supporting Coordinated Sleep Scheduling in Wireless Ad Hoc Networks

A wireless ad hoc network is a collection of wireless computing devices that self-configure to form a network independently of any fixed infrastructure. Many wireless ad hoc network devices such as smartphones and tablets are usually powered by batteries with a limited operation time. This poses a significant challenge to the design of low-power network protocols. On one hand, energy-efficient routing protocols are widely discussed to reduce the end-to-end transmission energy by controlling the transmission power at senders. Recently, opportunistic routing (OR) has attracted a lot of attention for maximizing energy efficiency by exploiting the gains of multi-receiver diversity. On the other hand, sleep scheduling is commonly adopted as an effective mechanism to further reduce power wasted in overhearing and idle listening. However, the prior work has mainly treated energy-efficient routing and sleep scheduling as two separate tasks, which leads to a serious problem that neither component can fully minimize the network-wide energy consumption. In this thesis, we study how energy-efficient routing can be coordinated with sleep scheduling to increase network-side energy efficiency. We identify a trade-off between the decreased transmit power at senders due to multi-receiver diversity and the increased power at forwarders with the incorporation of coordinated sleep scheduling. Moreover, we provide a comprehensive evaluation of coordinated sleep scheduling impact on energy-efficient routing performance based on a 2-D grid topology and time division multiple access (TDMA) medium access control (MAC). Extensive simulation results demonstrate the effectiveness of the integrated function of coordinated sleep scheduling, significant impact of coordinated sleep scheduling on the energy-efficient routing performance and relationship between the network conditions (in terms of the traffic load and node density) and overall system performance achieved by different energy-efficient routing protocols

Cognitive radio network in vehicular ad hoc network (VANET): a survey

Cognitive radio network and vehicular ad hoc network (VANET) are recent emerging concepts in wireless networking. Cognitive radio network obtains knowledge of its operational geographical environment to manage sharing of spectrum between primary and secondary users, while VANET shares emergency safety messages among vehicles to ensure safety of users on the road. Cognitive radio network is employed in VANET to ensure the efficient use of spectrum, as well as to support VANET’s deployment. Random increase and decrease of spectrum users, unpredictable nature of VANET, high mobility, varying interference, security, packet scheduling, and priority assignment are the challenges encountered in a typical cognitive VANET environment. This paper provides survey and critical analysis on different challenges of cognitive radio VANET, with discussion on the open issues, challenges, and performance metrics for different cognitive radio VANET applications

Cognitive radio network in vehicular ad hoc network (VANET): a survey

Cognitive radio network and vehicular ad hoc network (VANET) are recent emerging concepts in wireless networking. Cognitive radio network obtains knowledge of its operational geographical environment to manage sharing of spectrum between primary and secondary users, while VANET shares emergency safety messages among vehicles to ensure safety of users on the road. Cognitive radio network is employed in VANET to ensure the efficient use of spectrum, as well as to support VANET’s deployment. Random increase and decrease of spectrum users, unpredictable nature of VANET, high mobility, varying interference, security, packet scheduling, and priority assignment are the challenges encountered in a typical cognitive VANET environment. This paper provides survey and critical analysis on different challenges of cognitive radio VANET, with discussion on the open issues, challenges, and performance metrics for different cognitive radio VANET applications

Cognitive radio network in vehicular ad hoc network (VANET): a survey

Cognitive radio network and vehicular ad hoc network (VANET) are recent emerging concepts in wireless networking. Cognitive radio network obtains knowledge of its operational geographical environment to manage sharing of spectrum between primary and secondary users, while VANET shares emergency safety messages among vehicles to ensure safety of users on the road. Cognitive radio network is employed in VANET to ensure the efficient use of spectrum, as well as to support VANET’s deployment. Random increase and decrease of spectrum users, unpredictable nature of VANET, high mobility, varying interference, security, packet scheduling, and priority assignment are the challenges encountered in a typical cognitive VANET environment. This paper provides survey and critical analysis on different challenges of cognitive radio VANET, with discussion on the open issues, challenges, and performance metrics for different cognitive radio VANET applications

Software-defined routing protocol for mobile cognitive radio networks : a cross-layer perspective

The growing demand for wireless applications, combined with inefficient spectrum use, necessitates developing a new wireless communication paradigm that focuses on dynamic spectrum access rather than the fixed spectrum using cognitive radio technology. The unlicensed user, known as secondary user or cognitive user, uses cognitive radio technology to grow opportunistic communication over licensed spectrum bands and improve spectrum management performance. The routing protocol in Cognitive Radio Networks (CRNs) serves as a communication backbone, allowing data packets to transfer between cognitive user nodes through multiple paths and channels. However, the problem of routing in CRNs is to create a robust-stable route over higher channel availability. The previously developed protocols missed opportunities to exploit the time-variant channel estimation technique, which selects the best route using the cross-layer routing decision engine to track the adverse impact of cognitive user mobility and primary user activity. This study aims to construct a robust routing path while limiting interference with primary user activity, delaying routing, and maximizing routing throughput. Here, a new routing framework is created in this study to explore new extended routing functions and features from the lower layers (Physical layer and Data Link layer) feedback to improve routing performance. Then, the link-oriented channel availability and channel quality have been developed based on two reliable metrics, which are channel availability probability and channel quality, to estimate and select a channel that maximizes link-throughput. Furthermore, this study proposes a novel cross layer routing protocol, namely, the Software-Defined Routing Protocol. It is a cross-layer method to combine the lower layer (Physical layer and Data Link layer) sensing derived from the channel estimation model. It periodically updates the routing table for optimal route decision making. The output simulation of the channel estimation method has shown that it has produced a powerful channel selection strategy to maximize the average rate of link throughput and achieved a channel estimate under the time-variant effect. Extensive simulation experiments have been performed to evaluate the proposed protocol in compression with the existing benchmark protocols, namely, dual diversity cognitive Ad-hoc routing protocol and cognitive Ad-hoc on-demand distance vector. The proposed protocol outperforms the benchmarks, resulting in increasing the packet delivery ratio by around (11.89%-12.80%), reducing delay by around (2.74%-4.05%), reducing overhead by around (14.31%-18.36%), and increasing throughput by around (23.94%-28.35%). The software-defined routing protocol, however, lacks the ability to determine the better idle channel at high-speed node mobility. In conclusion, the cross-layer routing protocol successfully achieves high routing performance in finding a robust route, selecting high channel stability, and reducing the probability of interference with primary users for continued communication