Opportunistic routing in wireless sensor networks powered by ambient energy harvesting

Eu, Zhi Ang; Tan, Hwee-Pink; Seah, Winston K.G.

doi:10.1016/j.comnet.2010.05.012

Cited by 99 publications

(57 citation statements)

References 19 publications

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“…On the other hand, there are also several network-wide schemes for energy harvesting WSNs, including routing [Eu et al 2010b], activation [Jaggi et al 2008], cooperative communication [Li et al 2011], medium access control [Eu et al 2010a], rate allocation [Liu et al 2011] and cross-layer optimization [Liu et al 2010]. Among these network-wide schemes, only [Liu et al 2011] and [Liu et al 2010] integrates power management component to ensure ENO.…”

Section: Energy Harvesting Wsnsmentioning

confidence: 99%

Distributed Optimal Lexicographic Max-Min Rate Allocation in Solar-Powered Wireless Sensor Networks

Yang

McCann

2014

ACM Trans. Sen. Netw.

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Understanding the optimal usage of fluctuating renewable energy in Wireless Sensor Networks (WSNs) is complex. Lexicographic Max-min (LM) rate allocation is a good solution, but is non-trivial for multi-hop WSNs, as both fairness and sensing rates have to be optimized through the exploration of all possible forwarding routes in the network. All current optimal approaches to this problem are centralized and off-line, suffering from low scalability and large computational complexity; typically solving O(N 2 ) linear programming problems for N -node WSNs. This paper presents the first optimal distributed solution to this problem with much lower complexity. We apply it to Solar Powered WSNs (SP-WSNs) to achieve both LM optimality and sustainable operation. Based on realistic models of both time-varying solar power and photovoltaic-battery hardware, we propose an optimization framework that integrates a local power management algorithm with a global distributed LM rate allocation scheme. The optimality, convergence, and efficiency of our approaches are formally proven. We also evaluate our algorithms via experiments on both solar-powered MicaZ motes and extensive simulations using real solar energy data and practical power parameter settings. The results verify our theoretical analysis and demonstrate how our approach outperforms both the state-of-the-art centralized optimal and distributed heuristic solutions.

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Section: Energy Harvesting Wsnsmentioning

confidence: 99%

Distributed Optimal Lexicographic Max-Min Rate Allocation in Solar-Powered Wireless Sensor Networks

Yang

McCann

2014

ACM Trans. Sen. Netw.

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“…However, this mechanism is not suitable for static WSN. A detailed work is done on opportunistic routing based on ambient energy harvesting [36]. In this proposal, nodes are grouped together to improve throughput and minimize delay.…”

Section: Related Workmentioning

confidence: 99%

Secure Routing Protocol Using Cross-Layer Design and Energy Harvesting in Wireless Sensor Networks

Alrajeh

Khan

Lloret

et al. 2013

International Journal of Distributed Sensor Networks

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Energy efficiency is the main concern of research community while designing routing protocols for wireless sensor networks (WSNs). is concern can be addressed by using energy-harvesting scheme in routing protocols. In this paper, we propose a secure routing protocol that is based on cross layer design and energy-harvesting mechanism. It uses a distributed cluster-based security mechanism. In the cross-layer design, parameters are exchanged between different layers to ensure efficient use of energy. Energyharvesting system is used to extract and store energy, which is used to take decisions for the node state and thus for the routing issues. Simulation results show that our routing protocol can perform better in many scenarios and in hostile attack-prone environment.

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“…An energy harvesting algorithm (Eu et, al., 2010) is proposed for WSN. According to energy harvesting technique, a robot can absorbs solar energy from sunlight.…”

Section: Open Problems In Multi-robot Sensor Networkmentioning

confidence: 99%

Tradeoffs Among Delay, Energy and Accuracy of Data Aggregation for Multi-View Multi-Robot Sensor Networks

Li¹,

Pan²,

Watanabe³

2012

Wireless Sensor Networks - Technology and Protocols

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Opportunistic routing in wireless sensor networks powered by ambient energy harvesting

Cited by 99 publications

References 19 publications

Distributed Optimal Lexicographic Max-Min Rate Allocation in Solar-Powered Wireless Sensor Networks

Distributed Optimal Lexicographic Max-Min Rate Allocation in Solar-Powered Wireless Sensor Networks

Secure Routing Protocol Using Cross-Layer Design and Energy Harvesting in Wireless Sensor Networks

Tradeoffs Among Delay, Energy and Accuracy of Data Aggregation for Multi-View Multi-Robot Sensor Networks

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