M‐RPSS: A modified RPSS for path scheduling of mobile sink in wireless sensor network

Kundaliya, Brijesh; Hadia, Sarman K.

doi:10.1002/dac.4335

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…In that, the sink node travels through the network on a specified path to collect the data from the sensor nodes. Here the topology is continuously changed with the time which needs to be handling precisely while integrating with the internet [11].…”

Section: Node and Data Availabilitymentioning

confidence: 99%

Challenges of WSNs in IoT

Kundaliya¹

2021

Wireless Sensor Networks - Design, Deployment and Applications

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IoT and WSNs are the prime moving force for technology in the current world. WSNs unfold their capacity day by day in almost every aspect of life. IoT enables to integrate the different devices and makes it possible to communicate with each other. It makes life easier and upgrades the application’s usage to the next level. The integration of WSNs with IoT will help to reach apical of the usage of applications. The combination of WSNs and IoT will open up new doors in almost all the possible fields however the amalgamation of both the technology needs careful consideration about bringing the both on same level. The IoT is considered a mighty giant with enormous power and capability. On the other side, WSNs are miniature having limited resources but the tremendous capability to penetrate in almost every aspect of life. WSN’s limited resources are the main concern while integrating it with the IoT. The integration will make it possible to access the sensor node from any part of the world. It implies that now the sensor node is open for any heterogeneous internet user in the world. It will cause a security issue. Moreover, the topology and addressing of WSNs are different from the normal internet which needs to be addressed during the integrations. And there are other challenges too which we discussed in depth in this chapter.

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Section: Node and Data Availabilitymentioning

confidence: 99%

Challenges of WSNs in IoT

Kundaliya¹

2021

Wireless Sensor Networks - Design, Deployment and Applications

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“…They used Particle Swarm Optimization (PSO) to find the best location for the rendezvous point. They used Adaptive Particle Swarm Optimization (APSO) algorithms to solve the traveling salesman problem for the optimum path 21 …”

Section: Introductionmentioning

confidence: 99%

Implementation and comparative analysis of evolutionary algorithms for energy optimization in wireless sensor networks

Kundaliya

Hadia

2021

Int J Communication

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Summary Wireless sensor networks will be at the epitome of applications in near future. It is going through tremendous positive changes. Although it suffers from some limitations and it sorts out its limitations day by day. The biggest limitation of wireless sensor networks is the limited energy of the nodes. Most of the energy is used during the routing of the data. An optimized way of routing will save the valuable energy of the node and helpful for increasing the network's lifetime. The optimization algorithms are indeed utterly helpful in many applications across the different fields to optimize the resources. In the proposed worked we have applied Adaptive Particle Swarm Optimization (APSO), Ant Colony Optimization (ACO), Genetic Algorithms (GA), and Simulated Annealing (SA) to a Modified Rendezvous Point Selection Scheme and observed the effect on the network lifetime and energy consumption in the network. We have made an exhaustive comparison of all the optimization algorithms with considerable simulations.

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