An energy‐efficient utility‐based distributed data routing scheme for heterogenous sensor networks

Behzadan, Afshin; Anpalagan, Alagan; Woungang, Isaac; Ma, Bobby; Chao, Han‐Chieh

doi:10.1002/wcm.2474

Cited by 8 publications

(8 citation statements)

References 22 publications

(25 reference statements)

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“…As anticipated, in the 25 nodes testbed, nodes 1,3,6,8,12,16,18,21,23 (24,0), (4,20), (20,4), (6,9), (8,5), (13,10), (11,14), (16,19), and (18,15). Each experiment lasts 720s.…”

Section: Dealing With Unfair Delivery Ratiomentioning

confidence: 75%

“…Ten sessions of UDP constant bit rate traffic are generated between the node pairs (1, 4), (3, 0), (6,9), (8,5), (11,14), (13,10), (16,19), (18,15), (21,24) and (23,20). The experiment lasts 300s.…”

Section: Dealing With Unfair Delivery Ratiomentioning

confidence: 99%

“…If nodes belonging to a group form a coalition and route packets without intervention of nodes outside the coalition, then the routing shows some benefits with respect to the M. D'Arienzo and S. P. Romano fully selfish case. In [23], an alternative game theory approach to increase efficiency in sensor networks is presented. Following a duopoly Stackelberg game, sensor nodes are modeled in a hierarchical tree with parents, acting as leaders, and children, acting as followers.…”

Section: Related Workmentioning

confidence: 99%

“…Several sessions of traffic are generated between pairs of nodes, as we will detail in Section 5. Nodes 1, 3,6,8,12,16,18,21,23 can adopt a defective behavior, that is, they can refuse to relay packets for other nodes. The remaining nodes are instead always cooperative.…”

Section: Introductionmentioning

confidence: 99%

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A cooperation-based approach to energy optimization in wireless ad hoc networks

D’Arienzo¹,

Romano²

2015

ICST Transactions on Mobile Communications and Applications

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A well known and still open issue for wireless ad hoc networks is the unfair energy consumption among the nodes. The specific position of certain nodes composing an ad hoc network makes them more involved in network operations than others, causing a faster drain of their energy. To better distribute the energy level and increase the lifetime of the whole network, we propose to periodically force the cooperation of less cooperative nodes while overwhelmed ones deliberately stop their service. A dedicated ad hoc network routing protocol is introduced to discover alternative paths without degradation in the overall network performance.

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“…As anticipated, in the 25 nodes testbed, nodes 1,3,6,8,12,16,18,21,23 (24,0), (4,20), (20,4), (6,9), (8,5), (13,10), (11,14), (16,19), and (18,15). Each experiment lasts 720s.…”

Section: Dealing With Unfair Delivery Ratiomentioning

confidence: 75%

Section: Dealing With Unfair Delivery Ratiomentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A cooperation-based approach to energy optimization in wireless ad hoc networks

D’Arienzo¹,

Romano²

2015

ICST Transactions on Mobile Communications and Applications

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“…Upper and lower bounds on the capacity and minimum energy‐per‐bit for general additive white Gaussian noise (AWGN) and frequency‐division AWGN (FD‐AWGN) relay channel models are established in . A utility‐based distributed data routing algorithm is proposed and evaluated for heterogeneous wireless sensor networks in . It is energy‐efficient and is based on a game‐theoretic heuristic load‐balancing approach.…”

Section: System Model and Energy‐efficiency Metricmentioning

confidence: 99%

Energy Efficiency Architecture Design for Heterogeneous Cellular Networks

Yang

Anpalagan

2015

Wireless Communications

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Heterogeneous cellular networks (HetNets) have emerged as a new promising paradigm to further enhance capacity, where multiple types of low power smallcells are overlaid in a high power macrocell. They provide more opportunities to explore the potential cognition and cooperation diversities to improve the spectral efficiency. On the other hand, energy efficiency is a critical performance metric, which deserves more attention from academia, industry, and standardization, in particular, in scenarios where smallcells are densely deployed. In this paper, a systematic architecture is presented to efficiently utilize network resources and thus improve the overall energy efficiency. The architecture is referred to as OCRT because it combines a multi-tier energy efficiency considerations of operators, core networks, radio access networks and terminals (e.g., OCRT). Furthermore, a corresponding triply-cycle-based functional structure is proposed for the OCRT to make various interactions between the corresponding functional entities clear. An implementation scheme of OCRT based on cognitive information interaction cycle and an energy efficiency-aware protocol is presented. Finally, a use case of the presented OCRT green design is provided for energy efficiency optimization in a cognition-and-cooperation-characterized HetNet.Energy efficiency architecture design in hetnets Meanwhile, network robustness, flexibility, and greenness are promisingly becoming the research focus of the wireless community. The terminals have capabilities of more intelligence and multi-homing with higher QoS requirements, which are largely determined by the promising cognitive radio and cooperative communication networking.Therefore, regardless of the financial or the environmental considerations or better QoS provisioning, reducing the amount of energy consumption has become an important way to increase the profits of both operators and users in mobile communications industry. Also, in order not to follow the one-sided pursuit of spectral efficiency, the next generation of communications should meanwhile care about the energy efficiency. Energy efficient design/networking means monetary benefit for the operators and much better QoS for prolonging the battery life of user terminals by deploying new network architectures with low signaling overhead. The extensive research concentrated on green communications include several valuable surveys [3,4] for future Internet, [5] for wireless communication networks, and [6] for wireless cellular networks. Meanwhile, the energy efficiencies of different media access control behaviors in 802.11n were analyzed and compared in [7]. Several energy efficiency architecture, protocol, and algorithm are summarized in these works.However, to the best of our knowledge, there is no work to investigate the energy efficiency-related issues in one unified optimization architecture with multi-tier considerations, for instance, operators, core networks, radio access networks and terminals (e.g., OCRT). Towards 5G communicati...

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