Uniform Energy Consumption through Adaptive Optimal Selection of Cooperative MIMO Schemes in Wireless Sensor Networks

2008 ◽  
Author(s):  
Irfan Ahmed ◽  
Mugen Peng ◽  
Wenbo Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Optimal Selection ◽  
Cooperative Mimo ◽  
Selection Of

SYSTEM DESIGN OF ENERGY-EFFICIENT COOPERATIVE MIMO SCHEME FOR CLUSTER-BASED WIRELESS SENSOR NETWORKS

2011 ◽  
Vol 09 (02) ◽  
pp. 181-196 ◽  
Author(s):  
BO TANG ◽  
YANDONG WANG ◽  
MINGTIAN ZHOU
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Multiple Input Multiple Output ◽  
Energy Resource ◽  
Wireless Sensor ◽  
Single Input Single Output ◽  
Cooperative Mimo ◽  
Single Output

Wireless Sensor Networks (WSNs) with limited energy resource demand the implementation of energy-efficient techniques in applications. Recently, the scheme based on cooperative MIMO (Multiple-Input-Multiple-Output) has been proposed to enhance energy saving in WSNs. In this paper, we analyze the performance of energy consumption of inter-cluster communication based on cooperative MIMO techniques in cluster-based WSNs, and then propose a novel method to optimize the energy consumption analysis by changing the network topology into an equivalent double-string topology which can be easily solved by using optimization programming problem in SISO (Single-Input-Single-Output) system model, where cooperating nodes within each MIMO scheme transmission steps are treated as a virtual node. The simulation results show that our proposed data transmission with cooperative MIMO scheme outperforms the protocol without MIMO techniques significantly in terms of energy, lifetime and delay in multi-hop WSNs.

Energy Efficient Multi-Hop Wireless Sensor Networks with Cooperative MIMO Scheme

2013 ◽  
Vol 660 ◽  
pp. 124-129
Author(s):  
Yu Yang Peng ◽  
Jaeho Choi ◽  
Zi Chen Ren ◽  
Jae Ho Choi
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Minimum Energy ◽  
Multiple Input Multiple Output ◽  
Wireless Sensor ◽  
Cooperative Mimo ◽  
Minimum Energy Consumption ◽  
Input Multiple Output

For wireless sensor networks, energy efficiency is one of the most important subjects in recent research. In this paper, an energy-efficient multi-hop scheme based on cooperative MIMO (multiple-input multiple-output) technique is proposed for wireless sensor networks. Different from other papers, we consider a single cluster transmission scenario in which energy consumption is optimized by selecting the hop length and modulation constellation size. The optimal energy consumption formula is derived and proved mathematically. In addition, the minimum energy consumption per bit is calculated numerically.

scholarly journals Energy-Balancing Unequal Clustering Approach to Reduce the Blind Spot Problem in Wireless Sensor Networks (WSNs)

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4258 ◽  
Author(s):  
Nazmul Islam ◽  
Saurabh Dey ◽  
Srinivas Sampalli
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Blind Spot ◽  
Wireless Sensor ◽  
Unequal Clustering ◽  
Cluster Heads ◽  
Clustering Approach ◽  
Monitoring Area ◽  
Selection Of

Wireless Sensor Networks (WSNs) have become a significant part of surveillance techniques. With unequal clustering approaches and multi-hop communication, WSNs can balance energy among the clusters and serve a wide monitoring area. Recent research has shown significant improvements in unequal clustering approaches by forming clusters prior to the selection of cluster heads. These improvements adopt different geometric fractals, such as the Sierpinski triangle, to divide the monitoring area into multiple clusters. However, performance of such approaches can be improved further by cognitive partitioning of the monitoring area instead of adopting random fractals. This paper proposes a novel clustering approach that partitions the monitoring area in a cognitive way for balancing the energy consumption. In addition, the proposed approach adopts a two-layered scrutinization process for the selection of cluster heads that ensures minimum energy consumption from the network. Furthermore, it reduces the blind spot problem that escalates once the nodes start dying. The proposed approach has been tested in terms of number of alive nodes per round, energy consumption of nodes and clusters, and distribution of alive nodes in the network. Results show a significant improvement in balancing the energy consumption among clusters and a reduction in the blind spot problem.

QoS Aware Multi-hop Multi-path Routing Approach in Wireless Sensor Networks

2019 ◽  
Vol 9 (1) ◽  
pp. 43-52
Author(s):  
Omkar Singh ◽  
Vinay Rishiwal
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Life Time ◽  
Base Station ◽  
Environmental Data ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
End To End

Background & Objective: Wireless Sensor Network (WSN) consist of huge number of tiny senor nodes. WSN collects environmental data and sends to the base station through multi-hop wireless communication. QoS is the salient aspect in wireless sensor networks that satisfies end-to-end QoS requirement on different parameters such as energy, network lifetime, packets delivery ratio and delay. Among them Energy consumption is the most important and challenging factor in WSN, since the senor nodes are made by battery reserved that tends towards life time of sensor networks. Methods: In this work an Improve-Energy Aware Multi-hop Multi-path Hierarchy (I-EAMMH) QoS based routing approach has been proposed and evaluated that reduces energy consumption and delivers data packets within time by selecting optimum cost path among discovered routes which extends network life time. Results and Conclusion: Simulation has been done in MATLAB on varying number of rounds 400- 2000 to checked the performance of proposed approach. I-EAMMH is compared with existing routing protocols namely EAMMH and LEACH and performs better in terms of end-to-end-delay, packet delivery ratio, as well as reduces the energy consumption 13%-19% and prolongs network lifetime 9%- 14%.

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