Residual Battery Capacity Based Routing Protocol for Extending Lifetime of Mobile Ad Hoc Network

Vanjale, Mousami; Chitode, J. S.; Gaikwad, Shilpa P.

doi:10.1109/icacct.2018.8529412

Cited by 4 publications

(6 citation statements)

References 12 publications

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“…Our proposed ARMS-EGR is inspired by energy efficient geographic routing scheme using MS (EGRPM) in WSN. 44 EGRPM demonstrates improvements in packet delivery rate, average power consumption, and network lifetime in WSNs using MSs. Due to the following issues with EGRPM, we improved the model and applied it to FANETs.…”

Section: Motivationmentioning

confidence: 97%

“…A lot of work is already going on, implying that nodes are based on residual energy. [43][44][45] In this paper, we also looked at a distance as a major factor in choosing the next hop. The residual energy is only used to select the CH.…”

Section: Literature Surveymentioning

confidence: 99%

“…The approach of selecting the node with the highest residual energy is very naive. A lot of work is already going on, implying that nodes are based on residual energy 43–45 . In this paper, we also looked at a distance as a major factor in choosing the next hop.…”

Section: Literature Surveymentioning

confidence: 99%

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ARMS‐EGR—Adaptive ranking and mobile sink‐enabled energy‐efficient geographic routing protocol in flying ad hoc networks

Agrawal

Kapoor

2022

Int J Communication

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Unmanned aerial vehicles (UAVs) have become widespread because of their involvement in a variety of applications. The task of designing the energyefficient routing between UAVs has been considered a matter of great interest due to the inherent challenges of controlling the dynamics exhibited by UAVs.Energy limitations are considered the main limitations of UAVs. This research paper proposes a novel routing protocol, adaptive ranking and mobile sink (MS)-enabled energy-efficient geographic routing (ARMS-EGR) for flying ad hoc networks. In ARMS-EGR, the whole network is partitioned into cells. The cell contains cell members (CM) and cell heads (CHs). The CH works as a cluster head. Additionally, two MSs have been used to collect data captured by CM. Multihop communication on the network leads to an increase in traffic and consumes the energy of the UAVs located near the base station (BS). MSs are used for power distribution and load balancing across the network. Adaptive ranking of forwarder UAVs and CHs is performed during intracell and intercell multihop communication, respectively, using adaptive ranking. A cell with one-hop communication can directly send packets to the MS, but the ARMS-EGR routing protocol has been proposed for multihop communication. The proposed approach is simulated in NS-2.35 software. The results show that end-to-end latency and power consumption during packet transmission are greatly minimized. ARMS-EGR also demonstrates improvements in message success rates, number of alive nodes, and packet delivery ratio, making ARMS-EGR particularly suitable for flying ad hoc networks (FANETs).adaptive ranking, energy-efficient routing, flying ad hoc network, mobility management model, unmanned aerial vehicle | INTRODUCTIONThe flying ad hoc network (FANET) includes a set of unmanned aerial vehicles (UAVs). UAVs coordinate and communicate with each other to complete all tasks. UAVs, also known as drones, come in a variety of sizes and specifications. UAVs can be deployed quickly when needed. 1,2 FANETs have grown significantly from single large UAVs in the past to

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Section: Motivationmentioning

confidence: 97%

Section: Literature Surveymentioning

confidence: 99%

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ARMS‐EGR—Adaptive ranking and mobile sink‐enabled energy‐efficient geographic routing protocol in flying ad hoc networks

Agrawal

Kapoor

2022

Int J Communication

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“…The performance of MANETs depend on its dynamic context characterized by the mobility of devices, changing density of devices, and depleting battery charge of nodes [8,9,10,11,12]. To ensure efficient MANET deployment, adaptive use of available energy resources is required within such dynamic contexts [13,14].…”

Section: Introductionmentioning

confidence: 99%

Self-organizing topology for energy-efficient ad-hoc communication networks of mobile devices

Banerjee

Warnier

Brazier

2020

Preprint

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When physical communication network infrastructures fail, infrastructure-less communication networks such as mobile ad-hoc networks (MANET), can provide an alternative. This, however, requires MANETs to be adaptable to dynamic contexts characterized by the changing density and mobility of devices and availability of energy sources. To address this challenge, this paper proposes a decentralized context-adaptive topology control protocol. The protocol consists of three algorithms and uses preferential attachment based on the energy availability of devices to form a loop-free scale-free adaptive topology for an ad-hoc communication network. The proposed protocol has a number of advantages. First, it is adaptive to the environment, hence applicable in scenarios where the number of participating mobile devices and their availability of energy resources is always changing. Second, it is energy-efficient through changes in the topology. This means it can be flexibly be combined with different routing protocols. Third, the protocol requires no changes on the hardware level. This means it can be implemented on all current phones, without any recalls or investments in hardware changes. The evaluation of the protocol in a simulated environment confirms the feasibility of creating and maintaining a self-adaptive ad-hoc communication network, consisting of multitudes of mobile devices for reliable communication in a dynamic context.

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“…battery charge of nodes (Nishiyama et al 2012;Maan and Mazhar 2011;Aloi et al 2014;Mitra and Poellabauer 2012;Roy 2011). To ensure efficient MANET deployment, adaptive use of available energy resources is required within such dynamic contexts (Vanjale et al 2018;Conti and Giordano 2014).…”

mentioning

confidence: 99%

Self-organizing topology for energy-efficient ad-hoc communication networks of mobile devices

Banerjee

Warnier

Brazier

2020

Complex Adapt Syst Model

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Connectivity is essential to today's society, and relies heavily on the availability and reliability of physical network infrastructures (Sterbenz et al. 2010). There are, however, periods of time when physical network infrastructures fail, for example due to cascading failures, extreme weather events, humanitarian crises or intentional shutdown of communication infrastructures (Howard et al. 2011;Pidd 2012). In these periods mobile ad-hoc networks (MANETs), i.e., infrastructure-less communication networks, can provide an alternative (Rabbi and Arefin 2006;Gunasekaran and Harmantzis 2007;George et al. 2010;Lu et al. 2017). The performance of MANETs depends on its dynamic context characterized by the mobility of devices, changing density of devices, and depleting

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Residual Battery Capacity Based Routing Protocol for Extending Lifetime of Mobile Ad Hoc Network

Cited by 4 publications

References 12 publications

ARMS‐EGR—Adaptive ranking and mobile sink‐enabled energy‐efficient geographic routing protocol in flying ad hoc networks

ARMS‐EGR—Adaptive ranking and mobile sink‐enabled energy‐efficient geographic routing protocol in flying ad hoc networks

Self-organizing topology for energy-efficient ad-hoc communication networks of mobile devices

Self-organizing topology for energy-efficient ad-hoc communication networks of mobile devices

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