Energy Issues and Energy Aware Routing in Wireless Ad Hoc Networks

Fotino, Marco; Rango, Floriano De

doi:10.5772/13309

Cited by 29 publications

(14 citation statements)

References 44 publications

(39 reference statements)

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“…In Table IV, the typical values of power consumption for a wireless interface, adopted in this work, are illustrated [15].…”

Section: B Power Consumption Modelmentioning

confidence: 99%

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OLSR power consumption reduction using Game theory

Sanguankotchakorn

Wiriyapunt

2015

2015 Seventh International Conference on Ubiquitous and Future Networks

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In this work, we investigate the power saving of method called Game Theoretical OLSR (gOLSR) [101 in MANET, with two types of the underlying MAC protocol namely, IEEES02.11 and Sensor Medium Access Control (SMAC). By applying gOLSR, every node has to play the game when HELLO and TC interval are expired and chooses its strategy to "Update" or "Not Update" the HELLO and TC messages in each round of game. The performance is measured using nodes' Average Power Consumption in transmission and reception states. It is found that gOLSR can reduce the nodes' Average Power Consumption in network.

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“…In Table IV, the typical values of power consumption for a wireless interface, adopted in this work, are illustrated [15].…”

Section: B Power Consumption Modelmentioning

confidence: 99%

“…[11] [12][13] [15]. In [13], various types of overhead analysis of many protocols in MANET using various energy models are proposed.…”

Section: Introductionmentioning

confidence: 99%

OLSR power consumption reduction using Game theory

Sanguankotchakorn

Wiriyapunt

2015

2015 Seventh International Conference on Ubiquitous and Future Networks

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“…This idea off switching off a node to conserve battery power may not be always a good idea because it can partition a network. The Conventional on-demand routing protocols such as AODV and DSR are energy-unaware routing protocols [2]. In these protocols routing is done based on shortest path or by calculating the cost metric during the establishment of the route.…”

Section: Figure1: Mobile Ad-hoc Network Used In Military Operationmentioning

confidence: 99%

Enhanced AODV for Mobile Ad-hoc Networks

Sharma¹,

Sharma²

2013

IJCA

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A mobile ad-hoc network comprises of mobile nodes that can communicate with the nodes within their radio range and also with those which are outside range by using route discovery mechanisms. The nodes in an ad-hoc network can act as a host and also as a router that can route data to or from the other nodes. The topology of mobile ad-hoc networks changes dynamically which is mainly due to arrival or departure of nodes from the network. The nodes in ad-hoc network are self-adjusting and can adapt to the changes occurred in the topology. The main limitation of mobile ad-hoc networks is the energy constraints. There are three states of a node that results in energy consumption that are transmitting, receiving and idle state. The energy consumption of a node leads it to get down and makes it out of the network. This will lead to change in topology which incurs routing overhead when information about the down node has to be transferred to each node in the network. Again it will result in consumption of energy which incurs due to processing of these packets containing the information about the down node. In this paper we are presenting an enhanced on demand routing protocol in which each node uses a threshold value for energy and when the value of energy of that node reaches the threshold that node will not participate in the data transfer and when all the nodes in the network possess the set threshold value the threshold value is decreased. The enhanced protocol is based on Ad-hoc On Demand Distance vector (AODV) and hence named as Enhanced AODV (EAODV). In this paper the working of the EAODV is explained and also the simulation of the protocol is shown using the NS2 simulator. The paper also shows how this protocol is better than simple AODV based on different performance factors. The EAODV mainly concentrates on using the energy of nodes in an efficient manner so that the lifetime of a network can be increased.

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“…Some of these sources are useful while others are considered as a waste that should be eliminated or reduced in future designs for energy efficient schemes. Some of the main sources of wasted energy in wireless interfaces can be attributed to the following [4].…”

Section: Energy Consumed While Sending a Packetmentioning

confidence: 99%

An Approach to Rigid Minimum Residual Power Level of Nodes in Multi-Hop Wireless Network

Sharma¹,

Dubey²

2012

IJCA

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In multi hop wireless network nodes have finite battery energy to participate active role in network operations. Nodes not only dissipate amount of energy during the transmission of data even in sleep mode also. The energy dissipation of nodes arise network partition and irregular data transmission issue. To resolve that issue a lot of research has been done in which aware about battery energy of nodes during the discovery of route and data transmission. In this paper an approach is presented that specify minimum residual energy level of nodes to prevent data transmission from irregular manner. The proposed approach also offered to sending prioritized data packets and discard Route-Request packets comes from other nodes during regular transmission. The work minimized battery dissipation via discarding route discovery request packets and maximize the period of data transmissions.

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Energy Issues and Energy Aware Routing in Wireless Ad Hoc Networks

Cited by 29 publications

References 44 publications

OLSR power consumption reduction using Game theory

OLSR power consumption reduction using Game theory

Enhanced AODV for Mobile Ad-hoc Networks

An Approach to Rigid Minimum Residual Power Level of Nodes in Multi-Hop Wireless Network

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