Sailfish optimizer algorithm (SFO) for optimized clustering in wireless sensor network (WSN)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Battina Srinuvasu Kumar ◽  
S.G. Santhi ◽  
S. Narayana
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Cluster Head ◽  
Cuckoo Search ◽  
Wireless Sensor ◽  
Content Type ◽  
Network Cluster ◽  
Ideal Situation ◽  
Ch Selection

Purpose Inspired optimization algorithms respond to numerous scientific and engineering difficulties based on its flexibility and simplicity. Such algorithms are valid for optimization difficulties devoid of structural alterations. Design/methodology/approach This paper presents a nature-inspired optimization algorithm, named Sailfish optimizer (SFO) stimulated using sailfish group. Monetary custom of energy is a dangerous problem on wireless sensor network (WSN). Findings Network cluster is an effective method of reducing node power consumption and increasing network life. An algorithm for selecting cluster head (CHs) based on enhanced cuckoo search was proposed. But this algorithm uses a novel encoding system and wellness work. It integrates a few problems. To overthrow this method many metaheuristic-based CH selection algorithms are presented. To avoid this problem, this paper proposed the SFO algorithm based energy-efficient CH selection of WSN. Originality/value The proposed SFO algorithm based energy-efficient algorithm is used for discovering the CHs ideal situation. The simulations under delay, delratio, drop, energy, network lifetime, overhead and throughput are carried out.

scholarly journals Implementation of a Low-Cost Energy and Environment Monitoring System Based on a Hybrid Wireless Sensor Network

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Dong Sik Kim ◽  
Beom Jin Chung ◽  
Sung-Yong Son
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Low Cost ◽  
Mesh Network ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Crystal Oscillator ◽  
Energy And Environment ◽  
Order Curve ◽  
Narrow Bandwidth

A low-cost hybrid wireless sensor network (WSN) that utilizes the 917 MHz band Wireless Smart Utility Network (Wi-SUN) and a 447 MHz band narrow bandwidth communication network is implemented for electric metering and room temperature, humidity, and CO2 gas measurements. A mesh network connection that is commonly utilized for the Internet of Things (IoT) is used for the Wi-SUN under the Contiki OS, and a star connection is used for the narrow bandwidth network. Both a duty-cycling receiver algorithm and a digitally controlled temperature-compensated crystal oscillator algorithm for frequency reference are implemented at the physical layer of the receiver to accomplish low-power and low-cost wireless sensor node design. A two-level temperature-compensation approach, in which first a fixed third-order curve and then a sample-based first-order curve are applied, is proposed using a conventional AT-cut quartz crystal resonator. The developed WSN is installed in a home and provides reliable data collection with low construction complexity and power consumption.

scholarly journals Routing of emergency data in a wireless sensor network for mining applications

2021 ◽  
Author(s):  
Mandana Jafarian
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Residual Energy ◽  
Mesh Network ◽  
Wireless Sensor ◽  
End To End Delay ◽  
Simulation Results ◽  
End To End

Emergency situations in mines result in loss of precious human lives. In this thesis we discussed architecture of a Wireless Sensor Network (WSN) that can be deployed in mines, which takes care of severe geographical and environmental constraints found inside mines. The proposed architecture is a two-level hierarchy of small sized WSNs that employs a wireless Mesh network as the backbone connecting small sized WSNs scattered inside mines. We proposed a routing protocol for that WSN that is optimized for both emergency and non-emergency data routing. Since our main goal is to provide safety in the mining environment, the main consideration of the routing protocol is to provide reliability and reduce the end-to-end delay for vital emergency traffic while optimizing for network longevity for non-emergency traffic. We present a new cost-based routing protocol called MDML, which provides Minimum Delay and Maximum Lifetime routing for such networks. The proposed MDML routing defines separate cost metrics for emergency and non-emergency traffic. It finds the least-cost path for the reliable delay-constrained emergency traffic with regards to link error rate but also gives secondary consideration to nodes' residual energy. It is an energy efficient routing scheme for non-emergency or regular data traffic routing that maximizes the network lifetime. However, for emergency traffic energy efficiency is compromised to achieving minimal delay. Regular traffic is generated through periodic monitoring and is delay-insensitive. For regular traffic delivery, a shortest path routinig algorithm is employed which uses link costs that reflect both the communication energy consumption rates and the residual energy levels at the two end nodes. Simulation results show that using the proposed emergency routes reduces the end-to-end delay for emergency traffic. The effect of protocol update cycle on increasing the network lifetime is verified true simulation. MDML is also compared with a simulated non-MDML approach to compare the lifetime and delay performance. Simulation results have demonstrated the effectiveness of our approach.

Self-Healing Research of ZigBee Network Based on Coordinator Node Isolated

2013 ◽  
Vol 347-350 ◽  
pp. 2089-2094
Author(s):  
Ming Jiang Huang ◽  
Tao Wang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Mesh Network ◽  
Wireless Sensor ◽  
Self Healing ◽  
Single Chip ◽  
Child Node ◽  
Long Time ◽  
Parent Node ◽  
The Coordinator

A single-chip solution is proposed to realize the node design based on 2.4 GHz ZigBee wireless sensor network. Mesh network topology is achieved by the use of ZigBee Pro protocol stack on the hardware platform. When the packets are successfully sent to the coordinator node, a relevant event will be generated by the local node. Hence, the parent node lost event can be obtained by comparing the number of the packets sent by the child node and the number of the packets sent successfully shown by the respond event. A wireless sensor network is designed to work independently from the coordinator node and can be re-connected according to the needed set to resume the network. When the coordinator node is taken away from the site or power down by happenstance and power up again after a long time, the parent lost event in the child nodes can make it rejoin the new coordinator node again when needed. The network self-healing function can be achieved by this mechanism that makes the network more stable.

scholarly journals Lifetime Responsive Depth Based Routing for Underwater Wireless Sensor Network using Hybrid Soft Computing Technique with Optimal Delay

2020 ◽  
Vol 9 (11) ◽  
pp. 357-364
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cluster Formation ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Node Mobility ◽  
Network Simulator ◽  
Computing Technique ◽  
Optimal Delay

Underwater wireless sensor network (UWSN) is an emerging technology that has been used for different applications such as warning systems for disasters, monitoring the ecosystem, drilling of the oil, defense surveillance. Although underwater communication may be accomplished using electromagnetic or optical waves, but these methods are not feasible for practical UWSN, due to signal attenuation. UWSN faces several issues like restricted bandwidth, irregular node mobility, increased delay etc. which affects the routing behavior. In this paper, an optimal delay and lifetime aware depth based routing (ODLDR) protocol is proposed. Protocol first introduced the group partitioning algorithm for cluster formation that minimizes the energy consumption of network then an efficient priority based scheduling algorithm is proposed for trust computation, which helps in finalizing the CH and routing path. The ODLDR protocol is tested with the high density nodes in Network Simulator (NS2) tool. The simulation results shows the effectiveness of the ODLDR protocol in terms of energy consumption, packet delivery ratio, positioning accuracy, end-to-end delay, throughput and network lifetime.

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