Abstract
Sensor Network is typically event-based systems. A wireless sensor network consists of many sink nodes to which it subscribes to and streams by expressing interest or queries submitted by various applications by users or organizations in general. As the sensors are battery-operated devices energy plays prime criteria in the sustainability of the network. If the size of the sensor tree pertaining to a network increases then the number of slots required for the scheduling transmission also increases. Sensors are deployed to cover various target points according to the application need; hence the proper deployment of the coverage or data gathering nodes is essential to increase the lifetime of the network. Proper deployment of coverage nodes plays a key role in load balancing and formation of the optimal subtree along with its respective base station and relay sensors. Various stochastic, deterministic, as well as heuristic-based algorithms incorporating optimization techniques to perform the node distribution has been developed and researched over the years. Researchers have also developed variegated models with bio-inspired algorithms like genetic algorithm, PSO algorithm, etc. to tackle some of the crucial problems of WSN. The paper provides a survey of some of the models and algorithms used for sensor node distribution, data aggregation, and discuss the various issues related to load balancing—advantages and disadvantages according to various applications.
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Panja, A.K., Ghosh, A. (2020). Qualitative Survey on Sensor Node Deployment, Load Balancing and Energy Utilization in Sensor Network. In: De, D., Mukherjee, A., Kumar Das, S., Dey, N. (eds) Nature Inspired Computing for Wireless Sensor Networks. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-15-2125-6_11
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DOI: https://doi.org/10.1007/978-981-15-2125-6_11
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