Multi-channel Wireless Sensor Networks

Mihnea, Amalya; Cardei, Mihaela

doi:10.1007/978-81-322-2129-6_1

Cited by 4 publications

(2 citation statements)

References 36 publications

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“…The nodes in multi-frequency ad-hoc networks do not need global topology information or the involvement of any centralized infrastructures to operate, therefore, these nodes depend heavily on topology information shared by neighbors [76]. In a multi-frequency ad-hoc setting, nodes exchange topology observations with neighbors through periodic transmission of beacons on a pre-defined control channel [77].…”

Section: Dynamically Changing Topology and Incomplete Statisticsmentioning

confidence: 99%

On Platform to Enable the Cognitive Radio Over 5G Networks

Hindia

Qamar

Ojukwu

et al. 2020

Wireless Pers Commun

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With the increase in the number of communication devices, the requirement for higher bandwidth is essential. To achieve this goal, research and industrial communities have both suggested that future wireless systems will take advantage of the numerous emerging technologies. Utilization of Cognitive Radio (CR) for the next-generation Fifth Generation (5G) communication technology is the major advancement for getting a higher bandwidth in a cellular communication network. In this paper, we present a comprehensive study of CR from the perspectives of spectrum allocation schemes, impact and role of MAC layer in spectrum sensing and sharing, CR application in multi-hop wireless networks, and challenges associated with channel selection and packet routing in multi-hop heterogeneous CR networks. This paper also presents the analysis, in literature, of a range of intelligent routing protocols that are considered viable for packets routing in CR networks. The need to address the issue of spectrum depletion and the apparent underutilization of available scarce spectrum resources in existing wireless networks is the primary motivation behind this study. Considering the fact that CR technology can potentially maximize the utilization of bulk of the unused communication spectrum bands for the future 5G of wireless network and beyond.

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Section: Dynamically Changing Topology and Incomplete Statisticsmentioning

confidence: 99%

On Platform to Enable the Cognitive Radio Over 5G Networks

Hindia

Qamar

Ojukwu

et al. 2020

Wireless Pers Commun

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“…In the following section, we first define and introduce the concept of beacon variability in wireless communications. After that, we present and compare three different multi‐channel and multi‐interface MAC protocols: on‐demand channel assignment (DCA), multi‐channel MAC protocol (MMAC), and PSM‐MMAC.…”

Section: Related Workmentioning

confidence: 99%

Autonomous and adaptive beaconing strategy for multi‐interfaced wireless mobile nodes

Tahar

Dhraief

Belghith

et al. 2015

Wireless Communications

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Ad hoc wireless communications rely on beaconing to manage and maintain several network operations and to share relevant network parameters among network nodes. Beacon frames are sent at the start of each beacon interval. The frequency of beaconing depends on whether beacon intervals are fixed size or may be adapted and regulated according to the perceived network and workload conditions. On the other hand, current mobile nodes usually embed several heterogeneous wireless interfaces that urge the design of an adaptive beaconing strategy. In this paper, we propose an autonomous and adaptive beaconing strategy for multi-interfaced mobile wireless nodes that is capable of regulating the beacon interval size dynamically according to the perceived network conditions. The proposed strategy is based on a joint dynamic estimation of both the announcement traffic indication message (ATIM) window and the beyond-ATIM window sizes for each beacon interval. Extensive simulations were conducted using OMNeT++ to ascertain the improvements achieved by autonomously regulating the entire beacon interval to take into account the network and workload conditions. Obtained results showed that the two proposed approaches improve significantly the efficiency of the network in terms of throughput, end-to-end delay, and power consumption. The proposed fixed beacon interval (fixed-BI) approach stands as an enhanced version of the power-saving multi-channel MAC protocol (PSM-MMAC). The proposed variable beacon interval (variable-BI) approach, which regulates dynamically both of the ATIM and the beyond-ATIM windows, outperforms both the fixed-BI and the PSM-MMAC. In particular, under nominal traffic loads, the end-to-end delay of the variable-BI is much lower than those provided by the fixed-BI and PSM-MMAC.

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