Advanced Energy Consumption Strategy in Mobility Support Enhancement for RPL with Multiple Sinks

2020 ◽  
Author(s):  
Soniya Jain ◽  
Trupesh Patel
Keyword(s):  
Energy Consumption ◽  
Mobility Support ◽  
Multiple Sinks

GRPW-MuS: Geographic Routing to Multiple Sinks in Connected Wireless Sensor Networks

2016 ◽  
Vol 4 (3) ◽  
pp. 486
Author(s):  
Yassine Sabri
Keyword(s):  
Energy Consumption ◽  
Life Time ◽  
Research Problem ◽  
Geographic Routing ◽  
Wireless Sensor ◽  
Communication Overhead ◽  
Protection Scheme ◽  
Mobile Sinks ◽  
Multiple Sinks ◽  
Multiple Sink

Multiple sinks routing is envisioned as a possible solution to the bottleneck research problem in Wireless Sensor Networ ks (WSN). In addition to focusing on minimizing the energy consumption in a WSN, it is also equally impor tant to design routing protocols that fair ly and evenly distr ibute the networ k traffic; in order to prolong the networ k life time and improve its scalability.In this paper we present an enhancement to the GRPW algor ithm for wireless sensor networ ks. Perfor mance of GRPW algor ithm algor ithm depends heavily on single sink position , we propose a protocol called GRPW-MuS ( Geographic Routing to Multiple Sinks in connected wireless sensor networ ks) based on Multiple Static Sinks, we modified the existing sink location pr ivacy protection scheme by dividing nodes in the networ k containing multiple sink into different levels in which real packets are forwarded to sink belong to corresponding logical levels and the inter mediate node generating fake packets and sending it to fake sinks. Using OMNET++ simulation and the MiXiM framewor k, it is shown that proposed protocol significantly improves the robustness and adapts to rapid topological changes with multiple mobile sinks, while efficiently reducing the communication overhead and the energy consumption.

Deployment of Multiple Sink in the different Monitoring Area based on Optimization Technique

2019 ◽  
Vol 09 ◽  
Author(s):  
Sonal Telang Chandel ◽  
Sanjay Sharma
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Optimization Technique ◽  
Network Connectivity ◽  
Traffic Load ◽  
Wireless Sensor ◽  
Communication Overhead ◽  
Multiple Sinks ◽  
Full Coverage ◽  
Monitoring Area

Wireless Sensor Networks are widely used in different applications like environmental monitoring, health monitoring, wildlife monitoring, etc. The monitored area may be of any shape such as circular, rectangular, and square. Finding an ideal node deployment technique in wireless sensor systems (WSNs) that would diminish cost, be powerful to node failure, shorten calculation, and communication overhead, and guarantee full coverage alongside network connectivity is a troublesome issue. Indeed, sensing coverage and system connectivity are two of the most basic issues in WSNs as they can straightforwardly affect the system lifetime and activity. In traditional WSNs, a single sink is deployed which results in more traffic load on that sink cause higher energy consumption. Thus, it is necessary to deploy multiple sinks. The efficient deployment of sensors and multiple sinks is a challenging task as the performance of the network is depending on it. In this paper, sensors and multiple sinks are deployed using SSDOA (Sensor Sink Deployment Optimization Algorithm) in a different monitoring area. Performance parameters like coverage, network lifetime, energy consumption are analyzed. Compared to existing methods our method performs better in any type of monitoring area. Reported numerical results show that our method outperforms PSO, GA and Random deployment in the square monitoring area with 9% better network lifetime, 4% full coverage and 7.3% lesser energy consumption respectively. Furthermore, our proposed approach also performs better in the circular and rectangular monitoring area.

Optimization Based Sink Deployment Technique in WSN to Improve Network Performance

2020 ◽  
Vol 10 (2) ◽  
pp. 217-230
Author(s):  
Sonal Telang Chandel ◽  
Sanjay Sharma
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Network Performance ◽  
Packet Delivery Ratio ◽  
Delivery Ratio ◽  
Optimum Number ◽  
Packet Delivery ◽  
Multiple Sinks ◽  
The Impact ◽  
Deployment Cost

Background & Objective: Currently, WSN (Wireless Sensor Networks) provides a variety of services in industrial and commercial applications. WSN consists of nodes that are used to sense the environments like humidity, temperature, pressure, sound, etc. As the use of WSN grows there are some issues like coverage, fault tolerance, a deployment problem, localization, Quality of Service, etc. which needs to be resolved. Sink deployment is a very important problem because it is not the only impact on performance, but also influence on deployment cost. In traditional WSN, a single sink is deployed in the network, which aggregates all the data. Due to this, the whole network is suffering from some serious issues like delay, congestion, network failure that reduces network performance. Methods: One solution is to deploy multiple sinks instead of a single sink. Deploying multiple sinks can improve network performance, but increases sink deployment cost. In this paper, an ISDOA (Improved Sink Deployment Optimization Algorithm) is proposed to find the optimum number of sinks and their optimum location in ROI. Simulation is carried out in Matlab simulator. The impact of sensors and sinks on various network performance parameters like throughput, network lifetime, packet delivery ratio, energy consumption and cost of the network is analyzed. Results & Conclusion: It is shown by simulation results that the number of sinks varies inversely with energy consumption of the nodes; and it is linearly proportional to the network lifetime, throughput and packet delivery ratio. Furthermore, results show that the proposed approach outperforms random deployment with 25% higher throughput, 30% better network lifetime, 15% lesser energy consumption and 21% optimized cost of the network, respectively.

scholarly journals Dynamic Cluster Based Routing Protocol with Sink Mobility Support for Underwater Wireless Sensor Networks

2018 ◽  
Vol 7 (3.16) ◽  
pp. 57
Author(s):  
Anandalatchoumy S ◽  
Sivaradje G
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Underwater Wireless Sensor Networks ◽  
Mobility Support ◽  
Mobile Sinks ◽  
Dynamic Cluster

Underwater wireless sensor networks are energy resource constrained due to the scarce battery capacity. Energy efficient routing protocol is highly demanded to be developed for such networks. It is indeed a challenging task to design routing protocol that can achieve energy efficiency due to the dynamic and harsh underwater environment. A dynamic cluster based routing protocol coupled with sink mobility support (DCMMS) is proposed. Two schemes are combined together in the protocol. One is the formation of  clusters and two is the mobile sink management. The cluster formation includes cluster head election process and member           association process. Each cluster member sends the sensed data to the cluster head. Multiple mobile sinks are deployed to gather data directly from cluster heads. Finally, mobile sinks send the collected data after proper aggregation to the static sinks located at the surface. Thus, sink mobility and the dynamic clustering technique together help to balance the load among the nodes thereby       minimizing energy consumption to a significant extent and extending the network life span. Analytical simulations are extensively carried out to attest how the proposed protocol (DCMMS) achieves better performance with minimum energy consumption, less end to end delay and higher packet delivery ratio than its counterpart existing protocol (AA-RP).  

Lay Perceptions of Energy Consumption

2009 ◽  
Author(s):  
Shahzeen Z. Attari ◽  
Michael L. DeKay ◽  
Cliff I. Davidson ◽  
Wandi Bruine de Bruin
Keyword(s):  
Energy Consumption ◽  
Lay Perceptions
Sign in / Sign up

Export Citation Format

Share Document