Distributed routing for underwater wireless sensor networks using cuckoo search-ant colony optimization

Mahato, Dharmendra Prasad; Sandhu, Jasminder Kaur; Gitanshu,; Dutta, Kamlesh

doi:10.1145/3369740.3372757

Cited by 6 publications

(7 citation statements)

References 16 publications

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“…In [2], the authors proposed a routing protocol called TIHOO for VANETs. The routing scheme intelligently utilizes fuzzy and cuckoo methods.…”

Section: Literature Reviewmentioning

confidence: 99%

“…where the β is a boundary between the range [1,2] interval. The incentive for β is given to be 1.5; where the estimations of u and v are drawn from the normal distribution denoted as:…”

Section: Random Walkmentioning

confidence: 99%

“…The goal of QoS provisioning is to achieve a more deterministic network behavior, so that data can be delivered efficiently while network resources are utilized efficiently. The fundamental of cognitive radio ad hoc network (CRAHN) is to deliver the QoS requirements while the unlicensed users access network channels opportunistically when the spectrum is idle [2]. CRAHN has to ensure that interference with the licensed user's activities is avoided.…”

Section: Introductionmentioning

confidence: 99%

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Improving Quality of Service Provisioning of Optimised Cuckoo Search Ad Hoc on-demand Distance Vector Routing Scheme for Cognitive Radio Ad Hoc Networks.

Moila

velempini

2021

Preprint

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Spectrum mobility, cloud computing and the Internet of Things (IoTs) create large data sets, while the demand for more spectrum is increasing. Unfortunately, the spectrum is a scarce resource which is being underutilized by licensed users. The cognitive radio network, also known as intelligent radio, is a network that can adjust to environment changes and, detect available channels. It has emerged as a promising solution for the underutilization of the licensed spectrum and overcrowded free spectrum. Furthermore, given spectrum mobility, frequent link breakages impact negatively on the delivery of packets and the performance of the network. Hence there is need to address the routing problem. We therefore investigated which control methods can be utilized to improve the QoS provisioning in CRAHNs to minimize the signal overhead and to increase the achievable throughput.The study integrated the QoS requirements with optimized cuckoo search (OCS) algorithm to enhance the ad hoc on-demand distance vector (AODV) algorithm to establish a scheme we refer to as OCS-AODV. NS 2 simulation were run on Linux operating system. The comparative results show that the proposed scheme performed well in terms of end-to-end delay and throughput. However, the scheme does not backup alternative paths which can be used in the event of link breakages. The route discovery has to be re-initiated again. Though the route discovery process is faster because of the capability of the CS technique, it still degrades the performance of the scheme.

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“…In [2], the authors proposed a routing protocol called TIHOO for VANETs. The routing scheme intelligently utilizes fuzzy and cuckoo methods.…”

Section: Literature Reviewmentioning

confidence: 99%

“…where the β is a boundary between the range [1,2] interval. The incentive for β is given to be 1.5; where the estimations of u and v are drawn from the normal distribution denoted as:…”

Section: Random Walkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improving Quality of Service Provisioning of Optimised Cuckoo Search Ad Hoc on-demand Distance Vector Routing Scheme for Cognitive Radio Ad Hoc Networks.

Moila

velempini

2021

Preprint

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“…A homogeneous proactive routing protocol namely CoDBR is proposed in [39], in which relay nodes are nominated, depending upon the depth. The relay nodes that are selected forwards the data packets cooperatively to the sink node.…”

Section: Cluster-1 Protocols Holding Homogeneous Energymentioning

confidence: 99%

An Energy Efficient Routing Approach for IoT Enabled Underwater WSNs in Smart Cities

Usman

Alfandi

Usman

et al. 2020

Sensors

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Nowadays, there is a growing trend in smart cities. Therefore, Terrestrial and Internet of Things (IoT) enabled Underwater Wireless Sensor Networks (TWSNs and IoT-UWSNs) are mostly used for observing and communicating via smart technologies. For the sake of collecting the desired information from the underwater environment, multiple acoustic sensors are deployed with limited resources, such as memory, battery, processing power, transmission range, etc. The replacement of resources for a particular node is not feasible due to the harsh underwater environment. Thus, the resources held by the node needs to be used efficiently to improve the lifetime of a network. In this paper, to support smart city vision, a terrestrial based “Away Cluster Head with Adaptive Clustering Habit” (ACH) 2 is examined in the specified three dimensional (3-D) region inside the water. Three different cases are considered, which are: single sink at the water surface, multiple sinks at water surface,, and sinks at both water surface and inside water. “Underwater (ACH) 2 ” (U-(ACH) 2 ) is evaluated in each case. We have used depth in our proposed U-(ACH) 2 to examine the performance of (ACH) 2 in the ocean environment. Moreover, a comparative analysis is performed with state of the art routing protocols, including: Depth-based Routing (DBR) and Energy Efficient Depth-based Routing (EEDBR) protocol. Among all of the scenarios followed by case 1 and case 3, the number of packets sent and received at sink node are maximum using DEEC-(ACH) 2 protocol. The packets drop ratio using TEEN-(ACH) 2 protocol is less when compared to other algorithms in all scenarios. Whereas, for dead nodes DEEC-(ACH) 2 , LEACH-(ACH) 2 , and SEP-(ACH) 2 protocols’ performance is different for every considered scenario. The simulation results shows that the proposed protocols outperform the existing ones.

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“…Unfortunately, the spectrum is a scarce resource that is non-deterministic and varies from one sector to another, as illustrated in Figure 1. Figure 1 shows the available channels known as the spectrum holes, which unlicensed users have the privilege to access only when they are idle [2,3]. When licensed users are detected, the unlicensed users must vacate the spectrum to avoid interfering with the licensed user's transmission.…”

Section: Introductionmentioning

confidence: 99%

A Model to Improve the Effectiveness and Energy Consumption to Address the Routing Problem for Cognitive Radio Ad Hoc Networks by Utilizing an Optimized Cuckoo Search Algorithm

Moila

Velempini

2021

Energies

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A cognitive radio ad hoc network (CRAHN) is a mobile network that can communicate without any form of centralized infrastructure. The nodes can learn about the environment and make routing decisions. Furthermore, distributed computing, spectrum mobility, and the Internet of Things have created large data sets, which require more spectrum for data transmission. Unfortunately, the spectrum is a scarce resource that underutilized by licensed users, while unlicensed users are overcrowding the free spectrum. The CRAHNs technology has emerged as a promising solution to the underutilization of the spectrum. The focus of this study is to improve the effectiveness and energy consumption of routing in order to address the routing problem of CRAHNs through the implementation of the optimized cuckoo search algorithm. In CRAHNs, the node and spectrum mobility cause some frequent link breakages within the network, which degrades the performance of the routing protocols. This requires a routing solution to this routing problem. The proposed scheme was implemented in NS2 installed in Linux operating system, with a cognitive radio cognitive network (CRCN) patch. From the experimental results, we observed that the proposed OCS-AODV scheme outperformed CS-DSDV and ACO-AODV schemes. It obtained at least 3.87% packet delivery ratio and 2.56% and lower packets lost. The scheme enabled the mobile nodes to adjust accordingly to minimize energy consumption. If not busy, they switch to an idle state to save battery power.

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Distributed routing for underwater wireless sensor networks using cuckoo search-ant colony optimization

Cited by 6 publications

References 16 publications

Improving Quality of Service Provisioning of Optimised Cuckoo Search Ad Hoc on-demand Distance Vector Routing Scheme for Cognitive Radio Ad Hoc Networks.

Improving Quality of Service Provisioning of Optimised Cuckoo Search Ad Hoc on-demand Distance Vector Routing Scheme for Cognitive Radio Ad Hoc Networks.

An Energy Efficient Routing Approach for IoT Enabled Underwater WSNs in Smart Cities

A Model to Improve the Effectiveness and Energy Consumption to Address the Routing Problem for Cognitive Radio Ad Hoc Networks by Utilizing an Optimized Cuckoo Search Algorithm

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