Topology control-based collaborative multicast routing algorithm with minimum energy consumption

2014 ◽  
Vol 30 (1) ◽  
pp. e2905 ◽  
Author(s):  
Dingde Jiang ◽  
Zhengzheng Xu ◽  
Wenpan Li ◽  
Zhenhua Chen
Keyword(s):  
Energy Consumption ◽  
Topology Control ◽  
Multicast Routing ◽  
Routing Algorithm ◽  
Minimum Energy ◽  
Minimum Energy Consumption ◽  
Multicast Routing Algorithm

scholarly journals Digital Media Art Communication Based on Wireless Cooperative Routing with Minimum Energy Consumption

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Shuli Song
Keyword(s):  
Energy Consumption ◽  
Digital Media ◽  
Network Lifetime ◽  
Routing Algorithm ◽  
Minimum Energy ◽  
Sensor Nodes ◽  
Target Area ◽  
Media Art ◽  
Cooperative Routing ◽  
Minimum Energy Consumption

Wireless cooperative routing algorithm transmits the data collected in the target area to users, so that users can obtain monitoring information timely and accurately. In the traditional low-power adaptive clustering hierarchical routing protocol, the process of building clusters is random, the resources of nodes are not fully utilized, the node death speed is fast, the network life cycle is short, and the performance is not stable enough. In addition, the route maintenance process is cumbersome and will occupy a lot of bandwidth. In order to solve the problems of real-time transmission of digital media art communication data and network lifetime optimization, a wireless cooperative routing algorithm based on minimum energy consumption is proposed. The facts of transmission strength consumption, node residual strength, and minimal information transmission extension are analyzed, a new weight feature is proposed, and a multipath statistics routing scheme is developed by using the usage of the minimal strength consumption. All digital media art propagation sensor nodes transmit data to sink nodes along multiple transmission paths. Simulation results show that the algorithm can prolong the network lifetime, reduce and balance the node energy consumption, reduce the data transmission delay, reduce the energy consumption of wireless cooperative routing based on the minimum energy consumption by 64.5%, and increase the number of compressed images by 182%.

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.

The Implementation of Energy-Efficient and QoS Balancing Routing Based on OpenFlow Networks

2013 ◽  
Vol 411-414 ◽  
pp. 697-702
Author(s):  
Jia Hu ◽  
Jin He Zhou
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
Minimum Energy ◽  
Experimental Platform ◽  
Minimum Energy Consumption ◽  
Efficient Management

In this paper an energy-efficient management routing algorithm is presented. We provide a new idea and some solutions to balance the energy-efficient and QoS. Within the scope of QoS requirements, the routers consider energy-efficient and QoS at the same time, and choose a minimum energy consumption path. The proposed routing algorithm is then implemented with OpenFlow, which is an expandable, customizable, controllable and programmable experimental platform. The result indicates that proposed algorithm works well, and can balances between energy-efficient and QoS.

Load sensitive topology control: Towards minimum energy consumption in dense ad hoc sensor networks

2008 ◽  
Vol 52 (3) ◽  
pp. 493-513 ◽  
Author(s):  
Amir Nayyeri ◽  
Sajjad Zarifzadeh ◽  
Nasser Yazdani ◽  
Mohammad Mahmoody-Ghidary
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Topology Control ◽  
Ad Hoc ◽  
Minimum Energy ◽  
Minimum Energy Consumption ◽  
Ad Hoc Sensor Networks

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 Swarm intelligence based reliable and energy balance routing algorithm for wireless sensor network

2016 ◽  
Vol 29 (3) ◽  
pp. 339-355
Author(s):  
Fatma Elfouly ◽  
Rabie Ramadan ◽  
Mohamed Mahmoud ◽  
Moawad Dessouky
Keyword(s):  
Energy Consumption ◽  
Swarm Intelligence ◽  
Routing Protocol ◽  
Routing Algorithm ◽  
Minimum Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Minimum Energy Consumption ◽  
Energy Balanced Routing ◽  
Memory Resources

Energy is an extremely crucial resource for Wireless Sensor Networks (WSNs). Many routing techniques have been proposed for finding the minimum energy routing paths with a view to extend the network lifetime. However, this might lead to unbalanced distribution of energy among sensor nodes resulting in, energy hole problem. Therefore, designing energy-balanced routing technique is a challenge area of research in WSN. Moreover, dynamic and harsh environments pose great challenges in the reliability of WSN. To achieve reliable wireless communication within WSN, it is essential to have reliable routing protocol. Furthermore, due to the limited memory resources of sensor nodes, full utilization of such resources with less buffer overflow remains as a one of main consideration when designing a routing protocol for WSN. Consequently, this paper proposes a routing scheme that uses SWARM intelligence to achieve both minimum energy consumption and balanced energy consumption among sensor nodes for WSN lifetime extension. In addition, data reliability is considered in our model where, the sensed data can reach the sink node in a more reliable way. Finally, buffer space is considered to reduce the packet loss and energy consumption due to the retransmission of the same packets. Through simulation, the performance of proposed algorithm is compared with the previous work such as EBRP, ACO, TADR, SEB, and CLR-Routing.

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