scholarly journals Maximizing Network Lifetime Operator for Wireless Sensor Networks

2013 ◽  
Vol 4 (2) ◽  
pp. 267-272
Author(s):  
Dr. Deepali Virmani
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Topology Control ◽  
Performance Metrics ◽  
Minimum Energy ◽  
Energy Utilization ◽  
Wireless Sensor ◽  
Minimum Energy Consumption

Optimizing and enhancing network lifetime with minimum energy consumption is the major challenge in field of wireless sensor networks. Existing techniques for optimizing network lifetime are based on exploiting node redundancy, adaptive radio transmission power and topology control. Topology control protocols have a significant impact on network lifetime, available energy and connectivity. In this paper we categorize sensor nodes as strong and weak nodes based on their residual energy as well as operational lifetime and propose a Maximizing Network lifetime Operator (MLTO) that defines cluster based topology control mechanism to enhance network lifetime while guarantying the minimum energy consumption and minimum delay. Extensive simulations in Java-Simulator (J-Sim) show that our proposed operator outperforms the existing protocols in terms of various performance metrics life network lifetime, average delay and minimizes energy utilization.

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.

Optimal Hop Lengths to Ensure Minimum Energy Consumption in Wireless Sensor Networks

2020 ◽  
pp. 105-124
Author(s):  
Mekkaoui Kheireddine ◽  
Rahmoune Abdellatif
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
High Performance ◽  
Routing Algorithm ◽  
Minimum Energy ◽  
Wireless Sensor ◽  
Minimum Energy Consumption ◽  
Small Antenna ◽  
Save Energy

In wireless sensor networks, nodes have a low computing capacity, a small antenna and a very limited energy source; thereby batteries are considered as a critical resource and should be used efficiently. On the other hand, the antennas are the biggest consumers of energy, therefore, and their use must be very efficient to minimize energy consumption. In a dense WSN, each node may route messages to destination nodes either through short-hops or long-hops, by using a short or a long radio range. Thus, the hop length optimization can save energy. In this article, the authors propose a theorem to optimize the hop lengths and a routing algorithm to improve the WSN power consumption. The theorem establishes a simple condition to ensure the optimal hop lengths which guarantees the minimum energy consumption. And the proposed algorithm based on that condition is used to find the optimal routing path. The simulation results are obtained by applying the condition and the algorithm on WSNs and reveals a high performance regarding WSNs energy consumption and network lifetime.

Optimal Hop Lengths to Ensure Minimum Energy Consumption in Wireless Sensor Networks

2018 ◽  
Vol 9 (4) ◽  
pp. 1-18 ◽  
Author(s):  
Mekkaoui Kheireddine ◽  
Rahmoune Abdellatif
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
High Performance ◽  
Routing Algorithm ◽  
Minimum Energy ◽  
Wireless Sensor ◽  
Minimum Energy Consumption ◽  
Small Antenna ◽  
Save Energy

In wireless sensor networks, nodes have a low computing capacity, a small antenna and a very limited energy source; thereby batteries are considered as a critical resource and should be used efficiently. On the other hand, the antennas are the biggest consumers of energy, therefore, and their use must be very efficient to minimize energy consumption. In a dense WSN, each node may route messages to destination nodes either through short-hops or long-hops, by using a short or a long radio range. Thus, the hop length optimization can save energy. In this article, the authors propose a theorem to optimize the hop lengths and a routing algorithm to improve the WSN power consumption. The theorem establishes a simple condition to ensure the optimal hop lengths which guarantees the minimum energy consumption. And the proposed algorithm based on that condition is used to find the optimal routing path. The simulation results are obtained by applying the condition and the algorithm on WSNs and reveals a high performance regarding WSNs energy consumption and network lifetime.

scholarly journals An energy efficient and load balancing routing algorithm for wireless sensor networks

2011 ◽  
Vol 8 (4) ◽  
pp. 991-1007 ◽  
Author(s):  
Jin Wang ◽  
Tinghuai Ma ◽  
Jinsung Cho ◽  
Sungoung Lee
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Minimum Energy ◽  
Base Station ◽  
Routing Algorithms ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Energy Aware Routing

Many energy aware routing algorithms and protocols have been proposed for wireless sensor networks recently to achieve aims like minimum energy consumption, maximized network lifetime, reduced communication latency and overhead etc. The problem of hotspot can not be well addressed under many routing algorithms since some nodes which are on the shortest path or close to the base station tend to deplete their energy quickly and consequently cause network partition. In this paper, we propose a Ring-based Energy Aware Routing (REAR) algorithm for wireless sensor networks which can achieve both energy balancing and energy efficiency for all sensor nodes. Our algorithm considers not only the hop number and distance but also the residual energy of the next hop node during routing process. Simulation results validate that our algorithm outperforms some other routing algorithms in the aspects of energy consumption and network lifetime etc.

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