scholarly journals Routing in wireless sensor network based on soft computing technique

2011 ◽  
Vol 6 (21) ◽  
pp. 432-4441 ◽  
Author(s):  
Kalantari Samira ◽  
Amiri besheli Mohsen ◽  
Sam Daliri Zeinab ◽  
Shamshirb Shahaboddin ◽  
Shing Ng Liang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Soft Computing ◽  
Wireless Sensor ◽  
Computing Technique ◽  
Soft Computing Technique

Big Bang-Big Crunch Algorithm for Dynamic Deployment of Wireless Sensor Network

2016 ◽  
Vol 6 (2) ◽  
pp. 596
Author(s):  
R S Uppal ◽  
Shakti Kumar
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Big Bang ◽  
Wireless Sensor ◽  
Coverage Area ◽  
Computing Technique ◽  
Big Crunch ◽  
Soft Computing Technique ◽  
The Given ◽  
Better Than

This paper proposes soft computing technique Big Bang-Big Crunch (BB-BC) to address the main issue of deployment of wireless sensor networks. Deployment is the main factor that significantly affects the performance of the wireless sensor network. This approach maximizes the coverage area of the given set of sensors. We implemented our approach in MATLAB and compared it with ABC approach and found that the proposed approach is much better than the said approach.

scholarly journals Big Bang-Big Crunch Algorithm for Dynamic Deployment of Wireless Sensor Network

2016 ◽  
Vol 6 (2) ◽  
pp. 596
Author(s):  
R S Uppal ◽  
Shakti Kumar
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Big Bang ◽  
Wireless Sensor ◽  
Coverage Area ◽  
Computing Technique ◽  
Big Crunch ◽  
Soft Computing Technique ◽  
The Given ◽  
Better Than

This paper proposes soft computing technique Big Bang-Big Crunch (BB-BC) to address the main issue of deployment of wireless sensor networks. Deployment is the main factor that significantly affects the performance of the wireless sensor network. This approach maximizes the coverage area of the given set of sensors. We implemented our approach in MATLAB and compared it with ABC approach and found that the proposed approach is much better than the said approach.

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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