Routing protocol for k-anycast communication in rechargeable wireless sensor networks

Gao, Demin; Lin, Haifeng; Liu, Xiaofeng

doi:10.1016/j.csi.2015.07.002

Cited by 21 publications

(16 citation statements)

References 29 publications

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“…Anycast routing method is widely researched in mobile and ad hoc networks in Dehghan et al, 9 Gao et al, 10 Kostin et al, 11 and Hao et al 12 and especially for the delay tolerant networks (DTNs) in paper. [13][14][15] Power saving, being the most significant key performance indicator (KPI) in these networks has attracted a lot of researchers toward it.…”

Section: Literature Reviewmentioning

confidence: 99%

Wireless-powered cooperative energy aware anycast routing in wireless sensor networks

Hadi

Ahmed

Minhas

et al. 2016

International Journal of Distributed Sensor Networks

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A wireless-powered cooperative energy aware anycast routing protocol is proposed in this work. In contrary to conventional cooperative networks, it is considered here that all the relays did not have embedded energy supply, rather equipped with rechargeable batteries and energy harvesting units. Hence, from source signals, they accumulate sufficient harvested energy before the information is forwarded to its destination. Each relay between two basic modes will switch adaptively, which are information forwarding and energy harvesting. The research is limited to decode-and-forward scheme and fixed ratio combining, which works at the relay node of the network and the receiver end, respectively. The physical layer cooperative diversity and network layer multi-hop routing lead us to devise a minimum energy routing protocol as the joint optimization of power required for transmission at physical layer and also at network layer for the process to select a link. Simulating our algorithm demonstrates that the suggested cooperative energy aware anycast routing scheme has a better end-to-end delay and better ratio of packet delivery. Results further reveal that our proposed algorithm has improved energy consumption in comparison to the non-cooperative energy aware anycast scheme and the cooperation-based robust cooperative routing protocol scheme. Sensed data are allocated between nearby nodes by cooperative energy aware anycast routing in a cost-effective way in order to achieve maximum network lifetime.

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Section: Literature Reviewmentioning

confidence: 99%

Wireless-powered cooperative energy aware anycast routing in wireless sensor networks

Hadi

Ahmed

Minhas

et al. 2016

International Journal of Distributed Sensor Networks

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show abstract

“…In [8] we find RPKAC, a routing protocol for Rechargeable MS-WSN designed to reduce network latency and optimize the energy consumption, but focused on assuring the delivery by forwarding the packets to k sinks. The authors establish strategies to forward the packets to at least k sinks, at most k sinks and exactly k sinks.…”

Section: K-anycastmentioning

confidence: 99%

“…Routing solutions [3] and [8] are based on the hop-count distance, so the packets are forwarded to the neighbor with the lowest hop-count distance to the sink. This strategy implies either higher network topology knowledge or an important setup phase, with nodes discovering their hop-count distance to each sink.…”

Section: K-anycastmentioning

confidence: 99%

Latency and Network Lifetime Trade-Off in Geographic Multicast Routing for Multi-Sink Wireless Sensor Networks

Leao

Felea

2019

Lecture Notes in Computer Science

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The deployment of multiple sinks in Wireless Sensor Networks may provide better reliability, timely communication and longevity, depending on the routing strategy. Moreover, geographic routing is a powerful strategy to avoid the costs related to maintaining high network knowledge. In this paper, we present a Geographic Multicast Routing solution (GeoM), focused on the latency and network lifetime trade-off. Our solution considers a linear combination of network metrics during the decision process of the next hop. Packets are forwarded to all sinks, and duplications are defined on the fly during the forwarding. The network lifetime is addressed with an energy balance strategy and a trade-off between progress and energy cost. We make use of the maximum energy consumption as an indication of the network lifetime. Simulation results show that GeoM has an overall better performance than the existing solutions, with improvements of approximately 11% for the average latency, and 54% for the maximum energy consumption.

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“…References [21][22] presents the analytic and simulation results of the performance of UWB relative location estimation in space sensor networks, and analyze and evaluate the energy consumption models in space sensor networks with probabilistic distance distributions. References [23][24] propose resolving schemes of data collection in space sensor networks of both plane model and linear and nonlinear mathematics model, and proposed a new node route planning method.…”

Section: Introductionmentioning

confidence: 99%

Research of Space Network Node Route Planning and Localization in HAPS Space

Liu

2018

TNC

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Compared with the traditional method of detection tracking, space sensor networks for its good character of the traditional tracking methods inadequate. For the localization algorithm and route planning of space sensor network exists a big positioning error in high altitude platform station (HAPS) space communication. Space sensor network communication system is researched. According to the anchor nodes and unknown nodes, location algorithm and node route planning method of HAPS are proposed in this paper. The performance of the node density and location error are simulated and analyzed in HAPS. The simulation results show that the performance of proposed location error is better than the traditional algorithms.

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Routing protocol for k-anycast communication in rechargeable wireless sensor networks

Cited by 21 publications

References 29 publications

Wireless-powered cooperative energy aware anycast routing in wireless sensor networks

Wireless-powered cooperative energy aware anycast routing in wireless sensor networks

Latency and Network Lifetime Trade-Off in Geographic Multicast Routing for Multi-Sink Wireless Sensor Networks

Research of Space Network Node Route Planning and Localization in HAPS Space

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