RMEER: Reliable Multi-path Energy Efficient Routing Protocol for Underwater Wireless Sensor Network

Ahmed, Mukhtiar; Salleh, Mazleena; Channa, Muhammad Ibrahim; Rohani, Mohd Foad

doi:10.11591/ijece.v8i6.pp4366-4373

Cited by 10 publications

(11 citation statements)

References 18 publications

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“…In this work, our aim is to introduce a computational method [5]- [10] in which we theoretically computed the optimal range of ATRs. Our approach's result was matched with the simulation result in which they are sufficiently similar to each other.…”

Section: Discussionmentioning

confidence: 99%

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Optimum range of angle tracking radars: a theoretical computing

Samadi

Khosravi

Alzubi

et al. 2019

IJECE

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In this paper, we determine an optimal range for angle tracking radars (ATRs) based on evaluating the standard deviation of all kinds of errors in a tracking system. In the past, this optimal range has often been computed by the simulation of the total error components; however, we are going to introduce a closed form for this computation which allows us to obtain the optimal range directly. Thus, for this purpose, we firstly solve an optimization problem to achieve the closed form of the optimal range (Ropt.) and then, we compute it by doing a simple simulation. The results show that both theoretical and simulation-based computations are similar to each other.

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Section: Discussionmentioning

confidence: 99%

“…opt R is the optimal range. The equation of  t is rewritten as (10). If the SNR equation is to be rewritten as (11), we accordingly have  t as (12).…”

Section: Proposed Methodsmentioning

confidence: 99%

Optimum range of angle tracking radars: a theoretical computing

Samadi

Khosravi

Alzubi

et al. 2019

IJECE

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“…The energy of three types of nodes are considered in data transmission: cluster heads (CHs), relay nodes (RNs) and cluster coordinators (CCOs), to  ISSN: 2088-8708 balance the load between nodes the role of CHs, CCOs and RNs changes after each time interval. A reliable multipath energy efficient routing protocol (RMEER) is designed in [16], which allows discovering the efficient path in the network, and prolonge the lifetime of nodes. The authors validated their approaches with the NS-2.30 simulator using the aquasim package.…”

Section: Related Workmentioning

confidence: 99%

An energy aware scheme for layered chain in underwater wireless sensor networks using genetic algorithm

Souiki

Irid

Hadjila

2021

IJECE

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Extending the network lifetime is a very challenging problem that needs to be taken into account during routing data in wireless sensor networks in general and particularly in underwater wireless sensor networks (UWSN). For this purpose, the present paper proposes a multilayer chain based on genetic algorithm routing (MCGA) for routing data from nodes to the sink. This algorithm consists to create a limited number of local chains constructed by using genetic algorithm in order to obtain the shortest path between nodes; furthermore, a leader node (LN) is elected in each chain followed by constructing a global chain containing LNs. The selection of the LN in the closest chain to the sink is as follows: Initially, the closest node to sink is elected LN in this latter because all nodes have initially the same energy value; then the future selection of the LN is based on the residual energy of the nodes. LNs in the other chains are selected based on the proximity to the previous LNs. Data transmission is performed in two steps: intra-chain transmission and inter-chain transmission. Furthermore, MCGA is simulated for different scenarios of mobility and density of nodes in the networks. The performance evaluation of the proposed technique shows a considerable reduction in terms of energy consumption and network lifespan.

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“…Following are the prominent Software Suites, Libraries and Simulators for Wireless Implementations for creating assorted network scenarios Aqua-Sim is a simulating of underwater sensor networks. FASSS may be used to model acoustic signal attenuation, crashes and routing in underwater networks [13,14].…”

Section: Fig 2 Key Dimensions Of Underwater Wireless Networkmentioning

confidence: 99%

Implementation Patterns of AquaSim for Simulation of Underwater Acoustic Wireless Sensor Networks

Kreidi

2021

WJCMS

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Now days, a number of corporate as well as social applications are connected with wireless technologies which are covered under the domain of Internet of Things (IoT) and Cloud of Things (CoT). To work with the development and implementation of these scenarios, there is need of high performance costly gadgets which are difficult for the self finance researchers and small organizations. To cope up with the financial aspects of developing and getting the results from advanced wireless environment, the use of simulators and software libraries is done. In wireless environment, the segment of Underwater Wireless Sensor (UWSN) or Underwater Acoustic Network (UAN) is quite prominent which are used for the underwater applications including Military, Naval and Underwater Surveillance. Underwater sensor networks are famous for researchers and engineers in wireless technology. This field offers a lot of academic work in different disciplines. The main challenge of this UWSN is the energy saving for sensor nodes. For this cause, the location of sensor nodes shifts about regularly. There are several algorithms for energy production and collection, but this area is still in need of study due to political and national security concerns.

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RMEER: Reliable Multi-path Energy Efficient Routing Protocol for Underwater Wireless Sensor Network

Cited by 10 publications

References 18 publications

Optimum range of angle tracking radars: a theoretical computing

Optimum range of angle tracking radars: a theoretical computing

An energy aware scheme for layered chain in underwater wireless sensor networks using genetic algorithm

Implementation Patterns of AquaSim for Simulation of Underwater Acoustic Wireless Sensor Networks

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