Performance Evaluation of AODV, DSDV &amp;amp; DSR for Quasi Random Deployment of Sensor Nodes in Wireless Sensor Networks

Kulkarni, Nandkumar; Prasad, Ramjee; Cornean, Horia D.; Gupta, Nisha

doi:10.1109/icdecom.2011.5738571

Cited by 18 publications

(5 citation statements)

References 6 publications

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“…The optimization ACO is used to find repositioning of nodes and calculation is done by using interval theory. This proposed method showed simulation results which are better for static nodes [9]. Nandkumar Kulkarni proposed comparison of AODV, DSDV, and DSR these three routing protocols.…”

Section: Literature Reviewmentioning

confidence: 97%

Increasing Coverage with Efficiency in WSN using Energy Efficient Algorithms

Dongaonkar*,

Srinivasu,

Adsul

2019

IJITEE

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Current years Wireless Sensor networks is a leading area in research due to its number of applications in massive areas .The major concern for Wireless sensor networks is an issue of power of batteries for sensor nodes , several algorithms were transcribed to solve this problem but in so many cases only energy efficiency is considered , coverage problem with energy efficiency is not addressed in most of the cases. To give a better solution for energy efficiency and coverage in this paper modified LEACH protocol is proposed with genetic algorithm, which gives comparatively better results than EBRP protocol

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Section: Literature Reviewmentioning

confidence: 97%

Increasing Coverage with Efficiency in WSN using Energy Efficient Algorithms

Dongaonkar*,

Srinivasu,

Adsul

2019

IJITEE

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“…NS-2 [14] and OPNET [3] have also been used to evaluate the power consumption of WSNs. Mainly, the NS-2 is widely adopted to simulate the behaviour of WSNs with different protocols such as LEACH, TEEN, and APTEEN [26]; AODV, DSDV, and DSR [21], and S-MAC and RMAC [6]. However, the behaviour of the application (and its power consumption) is not as important as the protocols.…”

Section: Related Workmentioning

confidence: 99%

Using Coloured Petri Nets for Evaluating the Power Consumption of Wireless Sensor Networks

Dâmaso

Rosa

Maciel

2014

International Journal of Distributed Sensor Networks

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Several strategies to evaluate the power consumption of of wireless sensor networks (WSNs) have been proposed. The limited amount of energy and the difficulty of recharging them have demanded the emerging of these strategies. However, to evaluate the lifetime of a WSN is not a trivial task due to the complexity of reproducing the environment, inherent dynamism, and complexity and size of WSNs. In this context, we present an approach for evaluating the WSN lifetime by simulating its power consumption using models. This approach consists of a fully automated process for evaluating the WSN lifetime, a set of reusable Coloured Petri Net (CPN) models that express the power consumption of WSN communication protocols, and a strategy for composing CPN models of WSN applications and protocols. In order to assess our power consumption models, we carried out an experimental evaluation that compares the results obtained by simulation against ones existing in the literature.

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“…• Accuracy: The placement requirements in terms of precision and repeatability must be treated, distinguishing among located, random and semi-random deployments (Xu et al, 2010;Younis et al, 2006;Kulkarni et al, 2011).…”

Section: System Requirementsmentioning

confidence: 99%