Harvested Energy Scavenging and Transfer capabilities in Opportunistic Ring Routing

Abstract

Energy conservation has always been a prominent design goal for hierarchical routing protocols supporting sink mobility. Advertising the current position of mobile sink introduces control packet overhead which ultimately results in an increase in energy consumption and shorter network lifetime. Energy harvesting through ambient sources have enabled the utilization of rechargeable devices for Wireless Sensor Networks to perpetually remain operational. The modifications in the hierarchical structure of wireless sensor networks along with energy scavenging approaches could possibly minimize the control packet overhead and also provide a significant improvement in energy conservation. In this paper, we propose a novel Harvested Energy Scavenging and Transfer capabilities in Opportunistic Ring Routing protocol which uses a distinguishing approach of hybrid (ring + cluster) topology in which the network architecture is initially supported by the formation of a virtual ring structure and then a two-tier routing topology is used in the virtual ring as an overlay by grouping nodes into clusters. The rate of energy gain from solar harvesting and radio frequency transfer is the criterion for selecting cluster heads. The role of cluster heads is exploited to advertise the mobile sink current position as well as forward the aggregated data towards mobile sink using energy transfer based opportunistic routing. The simulation results reveal that our scheme considerably outperforms the existing benchmarks in terms of control packet overhead, energy conservation, network lifetime, packet delivery ratio and average end-end delay.

Energy-Efficient and Highly Reliable Geographic Routing Based on Link Detection and Node Collaborative Scheduling in WSN

“…To solve this problem, in [ 17 ], the authors create multiple rings and update the sink’s location only to the nodes on the rings, thus reducing the network latency. Furthermore, in [ 18 ], the authors propose novel harvested energy scavenging and transfer capabilities in an opportunistic ring routing protocol, which comprehensively enhances the performance of the network and improves the high latency defects of ring routing; however, due to the high traffic around the ring routing structure, nodes near the ring are more likely to die and the energy consumption of the network is not balanced enough.…”

“…RFLQGeo [14] Deep learning Low overhead Energy imbalance RR [15] ERSMR [16] Ring routing High lifetime High delay DGRP [17] HESTOR [18] Ring routing Low delay Energy imbalance MSGR [19] VGB [20] Grid structure Low energy consumption Low PDR CESMA-MTRS [21] Grid structure Low delay and high PDR Do not support mobile sink STTD [22] MCDM [23] Mobile sink Energy balance High latency EEB [24] Mobile sink Energy balance Low PDR RTG [25] Mobile sink High lifetime and low delay Low PDR AMSG [26] Mobile sink High lifetime and high throughput Low PDR EPSO [27] UDMC [28] OPT [29] GRNN [30] Coverage study Fewer nodes used…”

Thermal entropy based hesitant fuzzy linguistic term set analysis in energy efficient opportunistic clustering

“…Zhou et al [24] proposed dynamic power splitting (DPS) to adjust the power ratio of information encoding and energy harvesting in EHWSNs. Anees et al [25] proposed harvested energy scavenging and transfer capabilities in opportunistic ring routing in which a distinguishing approach of hybrid (ring + cluster) topology is used in a virtual ring structure and then a two-tier routing topology is used in the virtual ring as an overlay by grouping nodes into clusters. Overall, to the best of our knowledge, there is no published literature which focuses on thermal entropy based HFLTS analysis for energy efficient opportunistic clustering.…”