Improved Interference Aware EEDBR Protocol for Underwater Wireless Sensor Networks

Shakeel, Usman; Javaid, Nadeem; Ejaz, Mudassir; Zarar, Syed; Hafeez, Taimur; Muhammad, .

doi:10.1109/bwcca.2015.92

Cited by 4 publications

(4 citation statements)

References 19 publications

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“…Based on the DBR, Mohammadi et al in [10] proposed the Fuzzy DBR (FDBR) which selects forwarding nodes based on the number of hops, depth, and energy information, improving the energy efficiency and reducing the end-to-end delay. There are also many similar routing protocols, such as the VARP [11], GEDAR [12], iIA-EEDBR [13], EECOR [14], EEIRA [15], and so on. Similarly, the underwater acoustic routing design based on cooperative communication, such as CoDBR [42], Co-UWSN [43], SPARCO [44], RBCMIC [45], S-DCC [4], etc., also mostly considers end-to-end delay, network lifetime, and energy consumption.…”

Section: A Traditional Routing Protocol For Uasnsmentioning

confidence: 99%

“…Since the residual energy of nodes is an important factor affecting path selection, the initial energy setting of nodes will affect the choice of path according to Eqs. (13) and (14). It is known from [35] that the energy related parameter for the ACAR protocol is L k,best ＝5657436.463287456, indicated that the minimum energy consumption required for the selected optimal routing is proportional to L k,best in the ACAR protocol.…”

Section: B the Comparison Of System Throughputmentioning

confidence: 99%

“…Hence the optimal energy consumption design is the key issue due to limited energy supply of underwater relay nodes in practice. Much work has been done on how to design the optimal routing for this special application in underwater environments, including the traditional routing protocols [5][6][7][8][9][10][11][12][13][14][15] and the artificial intelligence (AI) algorithm-based routing protocols [16][17][18][19][20][21][22][23]. In general, for a given source-destination pair in multi-hop UASNs, the optimal routing protocol will always be the one with the lowest energy consumption, which is usually composed of the same relay nodes for each transmission task.…”

Section: Introductionmentioning

confidence: 99%

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PB-ACR: Node Payload Balanced Ant Colony Optimal Cooperative Routing for Multi-Hop Underwater Acoustic Sensor Networks

et al. 2021

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For a given source-destination pair in multi-hop underwater acoustic sensor networks (UASNs), an optimal route is the one with the lowest energy consumptions that usually consists of the same relay nodes even under different transmission tasks. However, this will lead to the unbalanced payload of the relay nodes in the multi-hop UASNs and accelerate the loss of the working ability for the entire system. In this paper, we propose a node payload balanced ant colony optimal cooperative routing (PB-ACR) protocol for multi-hop UASNs, through combining the ant colony algorithm and cooperative transmission. The proposed PB-ACR protocol is a relay node energy consumption balanced scheme, which considers both data priority and residual energy of each relay node, aiming to reduce the occurrence of energy holes and thereby prolong the lifetime of the entire UASNs. We compare the proposed PB-ACR protocol with the existing ant colony algorithm routing (ACAR) protocol to verify its performances in multi-hop UASNs, in terms of network throughput, energy consumption, and algorithm complexity. The simulation results show that the proposed PB-ACR protocol can effectively balance the energy consumption of underwater sensor nodes and hence prolong the network lifetime.

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Section: A Traditional Routing Protocol For Uasnsmentioning

confidence: 99%

Section: B the Comparison Of System Throughputmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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PB-ACR: Node Payload Balanced Ant Colony Optimal Cooperative Routing for Multi-Hop Underwater Acoustic Sensor Networks

et al. 2021

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“…However, the selection of nodes with the lowest energy results in the early death of such nodes, which leads to significant packet drop as the network operates. The improved IA-IEEDBR (iIA-IEEDBR) protocol addresses the early death of low-energy nodes in the IA-IEEDBR protocol [ 25 ]. It divides the network into four logical sections with each section having a header that controls the death of nodes.…”

Section: Related Work and Our Contributionmentioning

confidence: 99%

A Localization-Free Interference and Energy Holes Minimization Routing for Underwater Wireless Sensor Networks

Khan

Ahmedy

Anisi

et al. 2018

Sensors

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Interference and energy holes formation in underwater wireless sensor networks (UWSNs) threaten the reliable delivery of data packets from a source to a destination. Interference also causes inefficient utilization of the limited battery power of the sensor nodes in that more power is consumed in the retransmission of the lost packets. Energy holes are dead nodes close to the surface of water, and their early death interrupts data delivery even when the network has live nodes. This paper proposes a localization-free interference and energy holes minimization (LF-IEHM) routing protocol for UWSNs. The proposed algorithm overcomes interference during data packet forwarding by defining a unique packet holding time for every sensor node. The energy holes formation is mitigated by a variable transmission range of the sensor nodes. As compared to the conventional routing protocols, the proposed protocol does not require the localization information of the sensor nodes, which is cumbersome and difficult to obtain, as nodes change their positions with water currents. Simulation results show superior performance of the proposed scheme in terms of packets received at the final destination and end-to-end delay.

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DRADS: depth and reliability aware delay sensitive cooperative routing for underwater wireless sensor networks

et al. 2017

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Improved Interference Aware EEDBR Protocol for Underwater Wireless Sensor Networks

Cited by 4 publications

References 19 publications

PB-ACR: Node Payload Balanced Ant Colony Optimal Cooperative Routing for Multi-Hop Underwater Acoustic Sensor Networks

PB-ACR: Node Payload Balanced Ant Colony Optimal Cooperative Routing for Multi-Hop Underwater Acoustic Sensor Networks

A Localization-Free Interference and Energy Holes Minimization Routing for Underwater Wireless Sensor Networks

DRADS: depth and reliability aware delay sensitive cooperative routing for underwater wireless sensor networks

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