A New Energy-Balanced Transmission Scheme for Maximizing Network Lifetime in Wireless Sensor Networks

2017 ◽  
Vol 14 (1) ◽  
pp. 146-150
Author(s):  
Xiaohui Wang ◽  
Tongqian Peng
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Design Method ◽  
Experimental Simulation ◽  
Wireless Sensor ◽  
Transmission Scheme ◽  
New Energy ◽  
Energy Sink ◽  
Sink Hole

Maximizing the network lifetime is one of design challenges for data transmission in wireless sensor networks (WSNs) which is caused by the energy sink-hole problem. Recent researches show the energy sink-hole problem can be overcome by balancing the sensor energy consumptions. The paper proposes a new energy-balanced transmission scheme for maximizing network lifetime in wireless sensor networks, which focused on the corona-based WSN only with two coronas and we simulate the network base on the different radius of coronas because experiments show that the lifetime of corona-based WSN using two coronas is optimum for maximizing lifetime in the free space environments. Experimental simulation shows that the design method maximizes lifetime more than 10% than the existing methods.

scholarly journals A Biologically Inspired Energy-Efficient Duty Cycle Design Method for Wireless Sensor Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Jie Zhou
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Duty Cycle ◽  
Energy Efficient ◽  
Design Method ◽  
Wireless Sensor ◽  
Biologically Inspired ◽  
Design Algorithm ◽  
Recent Success ◽  
New Energy

The recent success of emerging wireless sensor networks technology has encouraged researchers to develop new energy-efficient duty cycle design algorithm in this field. The energy-efficient duty cycle design problem is a typical NP-hard combinatorial optimization problem. In this paper, we investigate an improved elite immune evolutionary algorithm (IEIEA) strategy to optimize energy-efficient duty cycle design scheme and monitored area jointly to enhance the network lifetimes. Simulation results show that the network lifetime of the proposed IEIEA method increased compared to the other two methods, which means that the proposed method improves the full coverage constraints.

scholarly journals Cluster Formation using Fuzzy Logic in Wireless Sensor Networks

2021 ◽  
Vol 3 (1) ◽  
pp. 31-39
Author(s):  
Bhalaji N
Keyword(s):  
Wireless Sensor Networks ◽  
Fuzzy Logic ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Error Rate ◽  
High Reliability ◽  
Experimental Simulation ◽  
Wireless Sensor ◽  
High Quality ◽  
Clustering Quality

The biggest challenges faced by wireless sensor networks (WSNs) are the network lifetime and consumption of energy. To reduce the amount of energy used by WSNs, high quality clustering proves to be a crucial approach. There are multiple criteria that need to be evaluated depending on the cluster’s quality and incorporating all these criteria will prove to be cumbersome process, leading to high-quality clustering. Hence, in this paper we propose an algorithm that is used to produce high quality clusters. Cluster quality is set as the deciding criterion to determine the quality of the clusters thereby categorizing them as intra- and inter-clusters based on their distances to eliminate error rate. Using fuzzy logic, the optimal cluster head is chosen. Similarly, based on the maximum and minimum distance between the nodes, the maximum and minimum energy present in every cluster is determined. The major advantages of the proposed methodology are large-scale networks with large nodes count, better scalability, independence of key CHs, low error rate and high reliability. Using internal and external criteria, the validity of the clustering quality can be measured. Experimental simulation shows that the proposed methodology will be useful in improving the network lifetime and energy consumption. Hence the proposed node further enhances the death of the last node and first node when compared using other methodology.

A New Energy-Efficient Hybrid and Clustering Routing for Wireless Sensor Networks

2017 ◽  
Vol 7 (3) ◽  
pp. 176
Author(s):  
Muneer Bani Yassein ◽  
Yaser Khamayseh ◽  
Ismail Hmeidi ◽  
Ahmed Al-Dubai ◽  
Mohammed Al-Maolegi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
New Energy

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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