EH-GPSR: An Energy Harvesting Protocol for IoT-based Wireless Sensor Networks

Manel Khelifi, Ali Lahreche, Ismail Grine, Ahmed Alioua
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引用次数: 4

Abstract

Energy harvesting is a promising paradigm in the Internet of things based on wireless sensor networks (IoT-based WSNs) for emerging applications such as smart cities, healthcare, and farming. Although the amalgamation of energy harvesting in WSNs (EH-WSNs) fostered many new opportunities, they still face challenging requirements to achieve high sustainability. Nowadays, most research efforts are focused on curtailing the limitation of the energy supply of IoT sensors, which strongly impacts their design. Therefore, new efficient energy harvesting routing protocols need to be developed, while ensuring network reliability and continuity. In this paper, we proposed a new energy harvesting greedy perimeter stateless routing protocol (EH-GPSR) to address the issue of limited sensor energy. EH-GPSR employs an EH rate in a cost function, derived from the randomized minimum path recovery time (R-MPRT) algorithm, to measure the harvested energy. Farther, it improves the greedy routing mechanism. Specifically, it uses a weighted function that combines the destination distance information with the EH rate-based cost to adaptively select the next hop. The simulation results showed that our protocol EH-GPSR extends the network lifetime and allows a better packet delivery rate by more than 20% compared to the GPSR protocol.
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EH-GPSR:基于物联网的无线传感器网络能量收集协议
能量收集是基于无线传感器网络(基于物联网的wsn)的物联网中一个很有前途的范例,适用于智能城市、医疗保健和农业等新兴应用。虽然能量收集在WSNs (EH-WSNs)中的融合带来了许多新的机遇,但它们仍然面临着实现高可持续性的挑战。目前,大多数研究工作都集中在减少物联网传感器的能量供应限制上,这对其设计产生了很大的影响。因此,需要开发新的高效的能量收集路由协议,同时保证网络的可靠性和连续性。针对传感器能量有限的问题,提出了一种新的能量收集贪婪周界无状态路由协议EH-GPSR。EH- gpsr采用从随机最小路径恢复时间(R-MPRT)算法导出的成本函数中的EH率来测量收集的能量。进一步改进了贪婪路由机制。具体来说,它使用一个加权函数,将目的距离信息与基于EH速率的代价相结合,自适应地选择下一跳。仿真结果表明,与GPSR协议相比,EH-GPSR协议延长了网络的生存期,数据包传输速率提高了20%以上。
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