Abstract
Because of recent advances in wireless power transfer technologies, several key topics of wireless sensor networks (WSNs) need to be revisited. Traditional data collection methods for WSNs typically consider the balance of power consumption among sensors as a critical design criterion for avoiding uneven power depletion in the networks. I propose a solution for the uneven power consumption problem of data collection over WSNs. I designed a node-Gosper island-based scalable hierarchical cluster transmission method in conjunction with a wireless recharge plan for data collection over rechargeable WSNs. For the recharge plan, I used a mobile wireless charger to visit and recharge the batteries of sensors located on different levels of node-Gosper curves with various frequencies. The duration of each recharging process for each layer of sensors was calculated to verify the feasibility of the proposed recharge plan. The simulation results indicate that my proposed data collection method outperforms several well-known data collection methods in terms of energy consumption.
Highlights
A wireless sensor network (WSN) is a wireless communication network consisting of numerous automated devices that use sensors to cooperate in monitoring the physical or environmental conditions of designated locations, such as temperature, sound, vibration, pressure, movement, and contaminants
I focused on the data collection methods of the rechargeable WSN (RWSN) and proposed a new method that uses the energy of the whole RWSN more efficiently
I simulate my proposed data collection method and compare its performance of various types of energy consumption with those of three other well-known data collection methods, namely direct transmission, the low-energy adoptive cluster hierarchy (LEACH) [4], and multihop routing with minimum hop counts [9]
Summary
A wireless sensor network (WSN) is a wireless communication network consisting of numerous automated devices that use sensors to cooperate in monitoring the physical or environmental conditions of designated locations, such as temperature, sound, vibration, pressure, movement, and contaminants. The number of studies on WSNs has substantially increased In such studies, the method of extending the lifetime of WSNs is always the key topic considered for designing protocols or algorithms for WSNs. previous efforts have provided several effective energy-saving methods, the ability to extend the lifetime of WSNs is still limited by the battery power configured in the sensors. I propose an energy-efficient data collection method for a rechargeable WSN (RWSN) based on the recursive structures of node-Gosper islands. In association with the proposed data collection method, I provide a novel recharge plan that uses a wireless charger travelling in different levels of node-Gosper curves to charge the sensors in the RWSN by using electromagnetic resonance power transmission technology. The simulation results indicate that my proposed method outperforms those well-known data collection methods in terms of energy consumption
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