Proficient Energy Consumption Aware Model in Wireless Sensor Network

Bhadoria, Robin Singh; Tomar, Geetam Singh; Kang, Sungmin

doi:10.14257/ijmue.2014.9.5.03

Cited by 10 publications

(4 citation statements)

References 10 publications

(6 reference statements)

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“…AODV AODV [7] is an Ad Hoc on Demand Distance Vector routing protocol which uses reactive routing protocol strategy. AODV has ability of unicast & multicast routing.…”

Section: Routing Protocolsmentioning

confidence: 99%

Analysis of AOMDV, AODV, DSR, and DSDV Routing Protocols for Wireless Sensor Network

Paul

Bhuiyan

Fatema

et al. 2014

2014 International Conference on Computational Intelligence and Communication Networks

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In wireless sensor network (WSN), data collecting from the environment and sending that data to be processed and evaluated is the most important issues. Hence performance evaluation and comparison between routing protocols is required because performance of any routing protocol can be changed or very with various parameters such as speed, seed time, pause time, number of node, and traffic scenario (network topology). In this paper routing protocol AODV, AOMDV, DSR and DSDV has been analyzed by comparing the different performance matrices such as packet delivery ratio (PDR), loss packet ratio (LPR), and average end to end delay (Average End to End) with varying pause time and number of node under TCP & CBR connection via network simulator NS2.35 for wireless sensor network.

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“…AODV AODV [7] is an Ad Hoc on Demand Distance Vector routing protocol which uses reactive routing protocol strategy. AODV has ability of unicast & multicast routing.…”

Section: Routing Protocolsmentioning

confidence: 99%

Analysis of AOMDV, AODV, DSR, and DSDV Routing Protocols for Wireless Sensor Network

Paul

Bhuiyan

Fatema

et al. 2014

2014 International Conference on Computational Intelligence and Communication Networks

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“…Bhadoria el at [7] presented an energy-aware model for wireless sensor network in which each sensor node randomly and alternatively stays in an active or sleep mode, there are two phases for active mode, the first one is full-active phase mode, which is used for data packet; transmits the sensed data packet, receive the packet and reply the received packet The second phase is semi-active which is only able to transmit/reply data, and there is a particular sensor node in a sleep mode that does not interact with any other node. The sensed node can switch from one phase to another randomly.…”

Section: Related Workmentioning

confidence: 99%

Using a New Routing Metric in Paths Discovery Process for MDSR

2019

ijeat

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Mobile Ad-hoc Network (MANET) is infrastructure-less network that consists of a set of mobile nodes. These nodes have limited power based on their batteries. Network lifetime is one of the most important challenges facing this type of networks; motivating many researchers to investigate alternatives that prolong the network lifetime. This paper proposes a new path selection metric that considers the ratio between the minimum residual energy of all route nodes and hop count value to select a rout in MDSR routing protocol. The discovered paths are checked periodically for ensuring their availabilities using special packets called DTC. Glomosim simulator is used to compare the modified MDSR protocol with the traditional MDSR and other existing protocols as well. Simulation results showed that the proposed routing protocol outperformed the traditional MDSR protocol in terms of network lifetime, packet delivery ratio and end to end delay. Moreover, it showed improved performance over other existing protocols in terms of packet delivery ratio and network lifetime.

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“…Many scholars have done extensive research to find ways to better deal with the problems of load balancing and network congestion. Geetam Singh-Tomar et al (2014) considered load balancing adaptive congestion transmission in mobile ad hoc networks, with the low density and lifetime of the transmission path taken into consideration [5]. Ajay Kumar Yadav and others (2015) proposed a stable multicast transmission protocol flow capacity to reduce system overhead and increase the life of the entire network [6].…”

Section: Introductionmentioning

confidence: 99%

Improvement and Implementation of an Adaptive Congestion DSR Routing Algorithm on Chip

Lee

et al. 2023

Preprint

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A classic routing protocol Dynamic Source Routing (DSR) can quickly establish a routing path but it is prone to cause a congestion and load unbalance under a presence of high amount of traffic. To improve the performance of DSR in large data networks and to solve various problems caused by network congestion, an improved DSR(DSR-p) is proposed. DSR-p has the congestion control ability by using Hello messages to find out the congestion status of links and establishing a ``bypass“ based on the congestion status. In addition, a congestion parameter γ is introduced to define the status of a link, whether the link is congested(red) or not(green).Simulations with Truetime, a network simulation library,were performed to evaluate the performance of DSR-p. The simulation results show that the DRS-p can effectively improve packet delivery rate (PDR) and reduce end-to-end delay (ED), routing overhead (EO) and energy consumption. Furthermore, the experimental tests were conducted with Telos B Mote TPR2420 on TinyOS platform. The test results demonstrate DSR-p outperforms DSR on PDR performance as the amount of transmitted data is larger, increasing by 5.6% as the packet sending rate reaches 900 packets/h. Therefore, both simulation and experimental results prove that the proposed DSR-p performs more efficiently than the conventional DSR.

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Proficient Energy Consumption Aware Model in Wireless Sensor Network

Abstract: In this paper, focus is on energy aware model of wireless sensor networks in which each

Cited by 10 publications

References 10 publications

Analysis of AOMDV, AODV, DSR, and DSDV Routing Protocols for Wireless Sensor Network

Analysis of AOMDV, AODV, DSR, and DSDV Routing Protocols for Wireless Sensor Network

Using a New Routing Metric in Paths Discovery Process for MDSR

Improvement and Implementation of an Adaptive Congestion DSR Routing Algorithm on Chip

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