Energy Efficient Reverse Path Routing Protocol for Asymmetric Links in Wireless Sensor Networks

Nath, Srigitha S.; Prabha, K.

doi:10.5958/2249-7315.2016.01389.7

Cited by 2 publications

(2 citation statements)

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“…In the initial phase, every node needs to evaluate its communication distance (BS, d i ) from the BS. The centralized BS generates a 'HELLO' message and transfer it to every node connected to the network [27]. The connected nodes need to move the request for the first-hop count over the coverage region r i .…”

Section: Learning-based Hierarchical Tree Modelmentioning

confidence: 99%

Modelling a Learning-Based Dynamic Tree Routing Model for Wireless Mesh Access Networks

Krishnammal¹,

Kalaiarasan²,

Bharathi³

2023

Computer Systems Science and Engineering

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Link asymmetry in wireless mesh access networks (WMAN) of Mobile ad-hoc Networks (MANETs) is due mesh routers' transmission range. It is depicted as significant research challenges that pose during the design of network protocol in wireless networks. Based on the extensive review, it is noted that the substantial link percentage is symmetric, i.e., many links are unidirectional. It is identified that the synchronous acknowledgement reliability is higher than the asynchronous message. Therefore, the process of establishing bidirectional link quality through asynchronous beacons underrates the link reliability of asymmetric links. It paves the way to exploit an investigation on asymmetric links to enhance network functions through link estimation. Here, a novel Learningbased Dynamic Tree routing (LDTR) model is proposed to improve network performance and delay. For the evaluation of delay measures, asymmetric link, interference, probability of transmission failure is evaluated. The proportion of energy consumed is used for monitoring energy conditions based on the total energy capacity. This learning model is a productive way for resolving the routing issues over the network model during uncertainty. The asymmetric path is chosen to achieve exploitation and exploration iteratively. The learning-based Dynamic Tree routing model is utilized to resolve the multi-objective routing problem. Here, the simulation is done with MATLAB 2020a simulation environment and path with energy-efficiency and lesser E2E delay is evaluated and compared with existing approaches like the Dyna-Q-network model (DQN), asymmetric MAC model (AMAC), and cooperative asymmetric MAC model (CAMAC) model. The simulation outcomes demonstrate that the anticipated LDTR model attains superior network performance compared to others. The average energy consumption is 250 J, packet energy consumption is 6.5 J, PRR is 50 bits/sec, 95% PDR, average delay percentage is 20%.

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Section: Learning-based Hierarchical Tree Modelmentioning

confidence: 99%

Modelling a Learning-Based Dynamic Tree Routing Model for Wireless Mesh Access Networks

Krishnammal¹,

Kalaiarasan²,

Bharathi³

2023

Computer Systems Science and Engineering

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“…They used link quality estimators to construct the dual tree, where one is a collection tree and another is a dissemination tree. ERPPro [40] performs energy-efficient reverse path routing for an asymmetric link. This protocol uses residual energy and link quality information to select a legitimate reverse path.…”

Section: Related Workmentioning

confidence: 99%

Minimizing the Adverse Effects of Asymmetric Links: A Novel Cooperative Asynchronous MAC Protocol for Wireless Sensor Networks

Hasan

Karmaker

Alam

et al. 2019

Sensors

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As Wireless Sensor Networks (WSNs) grow in popularity, researchers are now focusing more on some challenging issues that significantly degrade overall performance, such as energy hole mitigation, link asymmetry minimization, etc. Link asymmetry is a problem that arises when the coverage distance between two adjacent nodes varies. It creates an obstacle to overcome when designing an efficient Medium Access Control (MAC) protocol for WSNs with low duty-cycling. This phenomenon poses an especially difficult challenge for receiver-initiated asynchronous MAC protocols, which are popular due to their relatively higher energy efficiency. Exploiting the benefits of cooperative communication has emerged as one of the viable solutions to overcome this limitation. Cooperative communication in WSNs has received a lot of attention in recent years. Many researchers have worked to create a MAC layer supporting cooperative communication. However, the association of cooperative communication with an asymmetric link is not studied in the literature. In this research work, COASYM-MAC, a cooperative asynchronous MAC protocol for WSNs, is proposed based on a receiver-initiated MAC protocol that uses the fact that nodes have alternate paths between them to reduce link asymmetry. A key feature of the proposed protocol is that the optimal helper node is selected automatically in case of link asymmetry. Simulations exhibited that COASYM-MAC performs significantly better than a state-of-the-art MAC protocol for WSNs that handles asymmetric links, ASYM-MAC.

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Energy Efficient Reverse Path Routing Protocol for Asymmetric Links in Wireless Sensor Networks

Cited by 2 publications

References 0 publications

Modelling a Learning-Based Dynamic Tree Routing Model for Wireless Mesh Access Networks

Modelling a Learning-Based Dynamic Tree Routing Model for Wireless Mesh Access Networks

Minimizing the Adverse Effects of Asymmetric Links: A Novel Cooperative Asynchronous MAC Protocol for Wireless Sensor Networks

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