Cross layer design of energy efficient multipath routing protocol using adjustable sleeping window in manets

Remya, K; Sangeetha, C.; Suriyakala, C. D.

doi:10.1109/gcct.2015.7342716

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…Other power-save approaches [91,92] are based on the minimum energy threshold (limit) to decide whether a node should remain in active mode or to be in sleep mode to save energy. Remya et al [93] designed the Energy-efficient Multipath Routing protocol using Adjustable Sleeping window (EMRAS) by employing two algorithms: (1) Power and Delay Aware Multipath Routing Protocol (PDMRP) and (2) Slow start Exponential and Liner Algorithm (STELA), using a cross-layer design. The STELA algorithm improves the energy efficiency of the network by adjusting the sleeping window if there are no network activities.…”

Section: Approaches Based On Adaptations Of the Radio State Operational Modementioning

confidence: 99%

Survey on Power-Aware Optimization Solutions for MANETs

Kanellopoulos

Sharma

2020

Electronics

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Mobile ad hoc networks (MANETs) possess numerous and unique characteristics, such as high channel error-rate, severe link-layer contentions, frequent link breakage (due to node mobility), and dissimilar path properties (e.g., bandwidth, delay, and loss rate) that make these networks different from the traditional ones. These characteristics seriously interfere with communication and hence, ultimately degrade the overall performance in terms of end-to-end delay, packet delivery ratio, network throughput, and network overhead. The traditional referenced layered strict architecture is not capable of dealing with MANET characteristics. Along with this, the most important apprehension in the intent of MANETs is the battery-power consumption, which relies on non-renewable sources of energy. Even though improvements in battery design have not yet reached that great a level, the majority of the routing protocols have not emphasized energy consumption at all. Such a challenging aspect has gained remarkable attention from the researchers, which inspired us to accomplish an extensive literature survey on power-aware optimization approaches in MANETs. This survey comprehensively covers power-aware state-of-the-art schemes for each suggested group, major findings, crucial structures, advantages, and design challenges. In this survey, we assess the suggested power-aware policies in the past in every aspect so that, in the future, other researchers can find new potential research directions.

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Section: Approaches Based On Adaptations Of the Radio State Operational Modementioning

confidence: 99%

Survey on Power-Aware Optimization Solutions for MANETs

Kanellopoulos

Sharma

2020

Electronics

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“…REMA retains energy of the node for maximum time to increase battery life and the gateway is selected based on maximum weight which utilizes various rout path data transfer mechanisms. In [19] authors implement two algorithms -power and delay aware multipath routing protocol (PDMRP) and slow start exponential and liner algorithm (STELA) using cross layer design. STELA adjust sleeping window when there is no activity in the network and thus improves energy efficiency of the network.…”

Section: Related Workmentioning

confidence: 99%

Optimized Energy Efficient Hybrid Routing Protocol (EE-HRP) for Minimum Battery Power Consumption in MANET

Ghode¹,

Bhoyar²

2018

IJIES

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Mobile Ad-hoc networks (MANET) are being installed in a wide range of applications like military scenarios, rescue operations, data and device networks etc. Many of these networks uses battery operated nodes. A major requirement of these networks is to wisely utilize the battery power of nodes, so that the nodes can actively participate in process of communication for maximum time span without partitioning the network. This will result into maximum network lifetime which is again main goal in ad hoc routing algorithms. To achieve this we proposed an optimized Energy Efficient Hybrid Routing Protocol (EE-HRP) which uses routing strategy that seeks to find the best balance between minimizing the power consumption and evenly using all nodes within the network to avoid early exhaustion of individual node. In EE-HRP we use multiple threshold values for remaining battery power of nodes and assign different role of each node depending on remaining battery power of the node using our Node Energy Monitoring Algorithm (NEMA). Here we also make use of our previously designed algorithm Zone Head Selection Algorithm (ZHSA) which is used to select maximum energy node as Zone Head (ZH). By doing so we prevent nodes from early battery exhaustion which results to increase network lifetime to some extent. The key factor governing the performance of optimized EE-HRP are theoretically analyzed and evaluated. The simulation results are compared with some MANET routing protocols in different network scales, taking into consideration the power consumption. The theoretical analysis and simulation results shows that our proposed optimized EE-HRP reduces total power consumption, reduces end-to-end delay, increases packet delivery ratio and achieves maximum network lifetime.

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Cross layer design of energy efficient multipath routing protocol using adjustable sleeping window in manets

Cited by 2 publications

References 6 publications

Survey on Power-Aware Optimization Solutions for MANETs

Survey on Power-Aware Optimization Solutions for MANETs

Optimized Energy Efficient Hybrid Routing Protocol (EE-HRP) for Minimum Battery Power Consumption in MANET

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