Energy Balanced Localization-Free Cooperative Noise-Aware Routing Protocols for Underwater Wireless Sensor Networks

Qadir, Junaid; Khan, Abdul Hakim; Zareei, Mahdi; Vargas-Rosales, César

doi:10.3390/en12224263

Cited by 15 publications

(14 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Usual values of S are 1, 1.5 and 2 for cylindrical, practical and spherical spreading respectively. The absorption coefficient ( ( )) in dB/km for frequency f in kilohertz is calculated using Equation 4 [30] 10 log ( ) = 0.11 Equation 4is generally used for frequencies higher than a few hundred Hertz. However, equation (5) [30] is considered more effective for lower frequencies.…”

Section: B Attenuationmentioning

confidence: 99%

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

Islam

Park

2020

IEEE Access

View full text Add to dashboard Cite

Underwater Wireless Sensor Networks (UWSNs) offer a huge number of applications, most of which require tagging the sensed data with location information. This makes localization algorithms an essential part of UWSN design. This paper presents a comprehensive survey of the recently proposed literature on localization in UWSNs. The surveyed algorithms are evaluated based on a wide-ranging set of parameters which constitute the elementary features of a localization algorithm. Moreover, in order to familiarize the readers with the basic design of the surveyed algorithms, brief description of the mode of operations of each algorithm is presented along with its strengths and weaknesses. The algorithms are divided into two categories based on their computational design i.e., centralized and distributed. Each category is further subdivided into the algorithms that consider node mobility, and those that do not. Towards the end, we present our view on the future research directions in the area of localization in UWSNs.

show abstract

Section: B Attenuationmentioning

confidence: 99%

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

Islam

Park

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Energy balanced localization-free cooperative noise-aware routing for UWSNs is investigated in Reference [37] and two protocols are proposed. One is depth and noise-aware routing (DNAR), which is designed to reduce the energy consumption by combining the extent of link noise with the depth of a node.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient Depth-Based Opportunistic Routing with Q-Learning for Underwater Wireless Sensor Networks

Yongjie

Chen

et al. 2020

Sensors

View full text Add to dashboard Cite

Underwater Wireless Sensor Networks (UWSNs) have aroused increasing interest of many researchers in industry, military, commerce and academe recently. Due to the harsh underwater environment, energy efficiency is a significant theme should be considered for routing in UWSNs. Underwater positioning is also a particularly tricky task since the high attenuation of radio-frequency signals in UWSNs. In this paper, we propose an energy-efficient depth-based opportunistic routing algorithm with Q-learning (EDORQ) for UWSNs to guarantee the energy-saving and reliable data transmission. It combines the respective advantages of Q-learning technique and opportunistic routing (OR) algorithm without the full-dimensional location information to improve the network performance in terms of energy consumption, average network overhead and packet delivery ratio. In EDORQ, the void detection factor, residual energy and depth information of candidate nodes are jointly considered when defining the Q-value function, which contributes to proactively detecting void nodes in advance, meanwhile, reducing energy consumption. In addition, a simple and scalable void node recovery mode is proposed for the selection of candidate set so as to rescue packets that are stuck in void nodes unfortunately. Furthermore, we design a novel method to set the holding time for the schedule of packet forwarding base on Q-value so as to alleviate the packet collision and redundant transmission. We conduct extensive simulations to evaluate the performance of our proposed algorithm and compare it with other three routing algorithms on Aqua-sim platform (NS2). The results show that the proposed algorithm significantly improve the performance in terms of energy efficiency, packet delivery ratio and average network overhead without sacrificing too much average packet delay.

show abstract

“…In [50], depth and noise-aware routing (DNAR) and cooperative DNAR (Co-DNAR) are proposed. DNAR fuses the degree of link clamor in grouping with the depth of a node to choose the subsequent data sending node.…”

Section: Cluster-2 Protocols Holding Heterogeneous Energymentioning

confidence: 99%

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

Usman

Alfandi

Usman

et al. 2020

Sensors

View full text Add to dashboard Cite

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.

show abstract

Energy Balanced Localization-Free Cooperative Noise-Aware Routing Protocols for Underwater Wireless Sensor Networks

Cited by 15 publications

References 44 publications

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

Energy-Efficient Depth-Based Opportunistic Routing with Q-Learning for Underwater Wireless Sensor Networks

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

Contact Info

Product

Resources

About