Routing protocol for urban mobile networks based on geographical location

Serban, George-Cristian; Dumitru, A.; Marinescu, A.; Dobre, Ciprian; Cristea, Valentin

doi:10.1109/iccp.2010.5606394

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…The group robot system has good expansibility and flexibility. In complex and chaotic terrain, compared with the arrangement of sensor nodes for localization and energy consumption monitoring, robot group cooperation in real‐time dynamic event detection and other tasks has a better effect 42‐44 . In the next step, we will research wireless localization and environmental information acquisition of swarm robots to improve localization accuracy and adaptability of the energy consumption monitoring system 45,46 …”

Section: Discussionmentioning

confidence: 99%

A multi‐objective distance vector‐hop localization algorithm based on differential evolution quantum particle swarm optimization

Han

Jing

Tang

et al. 2021

Int J Communication

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Summary Wireless sensor networks (WSNs) have actively been considered in vast amount of applications in fields of science and engineering. The node location technology is one of the most critical technologies of WSNs. Aiming at the problem of distance vector‐hop (DV‐HOP) algorithm's excessive estimation error, we propose in this article a multi‐objective DV‐HOP localization algorithm based on differential evolution quantum particle swarm optimization (DQPSO‐DV‐HOP). First, the set of anchor nodes generated during the deployment phase that would cause large errors is eliminated, and a correction factor is introduced to modify the average hop distance to reflect the actual situation of the network better. In the node localization phase, the objective function we propose is optimized under a combination of the DE and QPSO algorithms, so the estimated results of unknown nodes are optimized and modified by using the QPSO algorithm of fast convergence, which is easy to converge to the optimal global value. Simulation results show that the localization stability, accuracy, and convergence given by the proposed DQPSO‐DV‐HOP algorithm are better than other schemes. High precision positioning algorithm can improve the accuracy of energy consumption monitoring and provide more accurate data for energy saving management.

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Section: Discussionmentioning

confidence: 99%

A multi‐objective distance vector‐hop localization algorithm based on differential evolution quantum particle swarm optimization

Han

Jing

Tang

et al. 2021

Int J Communication

Self Cite

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“…AODV, TORA, and other reactive routing protocols are examples. The key benefits of routing which include proactive and reactive are low overhead, low power consumption, and low bandwidth requirements [5][6][7]. Because of routes in a MANET which are only constructed when needed, drawback of adopting reactive routing occurs that is there will be a delay between packets when transferred.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Review of Geographic Routing Protocols in Wireless Sensor Network

Pandith¹,

Ramaswamy²,

Srikantaswamy³

et al. 2023

IDA

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To analyses the impact of high mobility, dynamic topologies, scalability and routing due to the more dynamic changes in network. To enhance mobile Ad-hoc network (MANET) self-organization capabilities by geographical routing algorithm during mobility. In this paper, a survey has been carried out on geographic routing protocols, such as hybrid routing, Greedy Routing, face-2 Algorithm, Perimeter Routing, quasi random deployment (QRD) techniques and time of arrival (TOA). An optimized multipath routing in wireless sensor network (WSN), energy utilization, detection of anonymous routing, node mobility prediction, data packet distribution strategies in WSN is analyzed. Geographic routing offers previous data packet information such as physical locations, packet elimination dependencies, storage capacity of topology, Associate costs and also identifies the dynamic behavior of nodes with respect to packets frequencies.

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An Efficient Big Data Gathering in Wireless Sensor Network using Reconfigurable Node Distribution Algorithm

Mallikarjunaswamy

Nagaraju

et al. 2022

2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP)

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Routing protocol for urban mobile networks based on geographical location

Cited by 3 publications

References 9 publications

A multi‐objective distance vector‐hop localization algorithm based on differential evolution quantum particle swarm optimization

A multi‐objective distance vector‐hop localization algorithm based on differential evolution quantum particle swarm optimization

A Comprehensive Review of Geographic Routing Protocols in Wireless Sensor Network

An Efficient Big Data Gathering in Wireless Sensor Network using Reconfigurable Node Distribution Algorithm

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