Stability and energy aware reverse AODV routing protocol in MANETS

Mohapatra, Sumant Kumar; Swain, Biswa Ranjan; Mahapatra, Sushil Kumar; Behera, Sukant

doi:10.1109/retis.2015.7232935

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…Limitation of Reverse AODV (R-AODV) scheme is considered in [25] and proposed (SEAR-AODV) Stability and Energy Aware Reverse AODV scheme. It considers node reliability factor which contains energy and route stability as a metric.…”

Section: Review Of Existing Workmentioning

confidence: 99%

Energy Aware Routing Protocol for Energy Constrained Mobile Ad-hoc Networks

Iqbal¹,

Latiff²,

Abdulhamid³

2018

IJECE

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Dynamic topology change and decentralized makes routing a challenging task in mobile ad hoc network. Energy efficient routing is the most challenging task in MANET due to limited energy of mobile nodes. Limited power of batteries typically use in MANET, and this is not easy to change or replace while running communication. Network disorder can occur for many factors but in middle of these factors deficiency of energy is the most significant one for causing broken links and early partition of the network. Evenly distribution of power between nodes could enhance the lifetime of the network, which leads to improving overall network transmission and minimizes the connection request. To discourse this issue, we propose an Energy Aware Routing Protocol (EARP) which considers node energy in route searching process and chooses nodes with higher energy levels. The EARP aim is to establish the shortest route from source to destination that contains energy efficient nodes. The performance of EARP is evaluated in terms of packet delivery ratio, network lifetime, end-to-end delay and throughput. Results of simulation done by using NS2 network simulator shows that EARP can achieve both high throughput and delivery ratio, whereas increase network lifetime and decreases end-to-end delay.

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Section: Review Of Existing Workmentioning

confidence: 99%

Energy Aware Routing Protocol for Energy Constrained Mobile Ad-hoc Networks

Iqbal¹,

Latiff²,

Abdulhamid³

2018

IJECE

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“…Mohapatra et al, [9] optimized the Reverse Ad hoc On-demand Distance Vector (R-AODV) based on computing the Reliability Factor (RF) of nodes. This factor includes route stability and energy aware metric.…”

Section: Related Workmentioning

confidence: 99%

Improving the AODV Protocol to Satisfy the Required Level of Reliability for Home Area Networks

Pozveh¹,

Mohammadinejad

Bateni

2016

IJCNIS

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Abstract-For decades, the structure of existing power grids has not changed. It is an old structure that depends heavily on fossil fuel as an energy source, and in the future, this is likely to be critical in the field of energy.To solve these problems and to make optimal use of energy resources, a new concept is proposed, called Smart Grid. Smart Grid is an electric power distribution automation system, which can provide a two-way flow of electricity and information between power plants and consumers.The Smart Grid communications infrastructure consists of different network components, such as Home Area Network (HAN), Neighborhood Area Network (NAN) and Wide Area Network (WAN). Achieving the required level of reliability in the transmission of information to all sections, including the HAN, is one of the main objectives in the design and implementation of Smart Grid. This study offers a routing protocol by considering the parameters and constraints of HAN, which, by improving AODV routing protocol, achieves the level of required reliability for data transmission in this network. These improvements include: making table-driven AODV routing protocol, extending the routing protocol to compute multiple paths in a route discovery, simplification and providing the effect of HAN parameters. The results of the NS2 simulation indicate that applying this improved routing protocol in the HAN, satisfies the required level of reliability of the network, which is over 98%.

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“…For example, Serhani et al (2020) introduced an adaptive routing protocol using reinforcement learning solutions. Other examples of studies in this group include (Alimohammadi et al, 2012; Benatia et al, 2021; Carofiglio et al, 2009; Er‐rouidi et al, 2017; Goswami, 2017; Manvi et al, 2010; Mohapatra et al, 2015; Mostafavi et al, 2020; Rump et al, 2016; Serhani et al, 2020; Singal et al, 2014; Whitbeck & Conan, 2010; Xia et al, 2014; Yang et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

An infrastructure‐less emergency location detection system using basic cellular device‐to‐device connection

Behrooz,

Ilbeigi

2024

Contingencies & Crisis Mgmt

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One of the most time‐sensitive and critical tasks for first responders in the aftermath of a disaster is to locate people for effective and successful rescue operations. The existing solutions for large‐scale location detection of citizens depend on expensive equipment that may not be readily available in many urban areas and also cannot cover a vast area quickly. To address this challenge, the present study proposes a novel location estimation method by creating a Mobile Ad Hoc Network (MANET) using citizens' mobile phones. The proposed solution can accurately estimate the location of mobile devices in a MANET based on their Received Signal Strength (RSS) and communicate the estimated location coordinates to first responders without any dependencies on telecommunication infrastructures. This system will help first responders locate and map mobile devices in the affected area in a matter of seconds to improve the efficiency and effectiveness of postdisaster rescue operations. The envisioned solution offers unique capabilities that differentiate it from previously existing methods. The proposed method directly estimates device locations using their basic cellular signal strength without any dependency on GPS and relies only on basic cellphone signals. Therefore, nonsmartphones can also join and function in the envisioned MANET system. It also does not impose any computational operations or requirements for installing an app on citizens' phones. The performance of the proposed system was empirically evaluated using a simulation analysis. The results indicated that the method could efficiently and accurately discover more than 93% of mobile devices and estimate their locations.

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Stability and energy aware reverse AODV routing protocol in MANETS

Cited by 6 publications

References 17 publications

Energy Aware Routing Protocol for Energy Constrained Mobile Ad-hoc Networks

Energy Aware Routing Protocol for Energy Constrained Mobile Ad-hoc Networks

Improving the AODV Protocol to Satisfy the Required Level of Reliability for Home Area Networks

An infrastructure‐less emergency location detection system using basic cellular device‐to‐device connection

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