Lifetime maximizing cooperative energy efficient broadcast tree in multi hop wireless networks

Dewangan, Keshaw; Bhattacharjee, Sanghita

doi:10.1109/iadcc.2014.6779341

Cited by 7 publications

(1 citation statement)

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“…Network of sensor nodes as represented by universality as wireless sensor networks (WSN) collect data from distributed sensor nodes for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. WSN operation defines wireless connectivity and formation of network spontaneously, such that data from the sensor are broadcasted [4] and they are wirelessly transmitted. As in WSN, the nodes are energy constrained which implies energy consumption [5] are powered by the batteries, where it is complicated to have updation or charging its battery  ISSN: 2089-3272 for two main reasons.…”

Section: Introductionmentioning

confidence: 99%

Game theory based Ad-hoc On Demand Distance Vector Routing Protocol to Extend the Wireless Sensor Networks Life Time

Premkumar

Chitra

Celestin

et al. 2019

IJEEI

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This paper proposes a solution with an objective to increase the lifetime of wireless sensor networks (WSNs) via a concept of game theory enabled adhoc on demand distance vector (AODV) routing protocol. Game theory is an optimal promising candidate for decision making in a wireless networking scenario to find the optimal path for data packets transfer between source node and destination node, where combination with the AODV routing algorithm, a procedure of game theory enabled AODV (GTEAODV) is developed and proposed in this research paper. The developed and proposed methodology is validated through simulation in NS2 environment and the results show an improvement in energy lifetime of the order of 30-35% in comparison to the existing routing methodology which uses co-operative routing techniques among the nodes in WSN. Further, the throughput of game theory enabled adhoc on demand routing is also highly improved in comparison to existing traditional approaches though obtained results. Though, game theory approach is an existing approach concatenation of it with AODV can provide increased network performance which is significant as portrayed in research results shown in the paper. Hence, by virtue of providing enhanced energy lifetime and data security through the nature of the algorithm, the proposed GTEAODV algorithm can be employed in defence applications for secure data transmission and reception for forthcoming deployment of 5G systems which are blossoming in world wide scenario.

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Section: Introductionmentioning

confidence: 99%