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Lingaraj, M.
- Query Aware Routing Protocol for Mobility Enabled Wireless Sensor Network
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Authors
Affiliations
1 Department of Computer Science, Sankara College of Science and Commerce, Coimbatore, Tamil Nadu, IN
2 Department of Computing, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, IN
3 Department of Computer Science, VLB Janakiammal College of Arts and Science, Coimbatore, Tamil Nadu, IN
1 Department of Computer Science, Sankara College of Science and Commerce, Coimbatore, Tamil Nadu, IN
2 Department of Computing, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, IN
3 Department of Computer Science, VLB Janakiammal College of Arts and Science, Coimbatore, Tamil Nadu, IN
Source
International Journal of Computer Networks and Applications, Vol 8, No 3 (2021), Pagination: 258-267Abstract
Mobility Enabled Wireless Sensor Network (MEWSN) plays a significant role in different fields including environmental control, traffic control and healthcare. The performance of MEWSN is dependent not only on sensing but also on routing. Multiple research works are carried out by different researchers in the domain of routing in MEWSN, but still the performance of MEWSN gets lacked. Poor routing is the ischolar_main cause for the performance degradation of MEWSN. In this paper, a new routing protocol namely Query Aware Routing Protocol (QARP) is proposed to balance the load in MEWSN to prevent congestion and exhausted power utilization. Normal routing protocols either seek to match load or route, but both are considered in QARP. Also, identified routes are classified based on an enhanced relevant vector machine classification algorithm which assists in minimizing the delay and energy consumption. Using NS2, QARP is evaluated against previous routing protocols with standard performance metrics namely throughput, delay, packet delivery ratio and energy consumption. The packet delivery ratio achieved by QARP is 92.6%, where the existing routing protocols IFLIP and PARP has achieved 62.8% and 75.4% respectively.Keywords
WSN, MEWSN, Routing, Query, Load, Congestion.Full Text
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- AFSORP: Adaptive Fish Swarm Optimization-Based Routing Protocol for Mobility Enabled Wireless Sensor Network
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Authors
Affiliations
1 Department of Computer Science and Engineering, Annamalai University, Cuddalore, Tamil Nadu, IN
2 Department of Computer Science, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, IN
3 Department of Computer Science and Applications, Sankara College of Science and Commerce, Coimbatore, Tamil Nadu, IN
4 Department of Computer and Information Science, Annamalai University, Cuddalore, Tamil Nadu, IN
1 Department of Computer Science and Engineering, Annamalai University, Cuddalore, Tamil Nadu, IN
2 Department of Computer Science, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, IN
3 Department of Computer Science and Applications, Sankara College of Science and Commerce, Coimbatore, Tamil Nadu, IN
4 Department of Computer and Information Science, Annamalai University, Cuddalore, Tamil Nadu, IN
Source
International Journal of Computer Networks and Applications, Vol 10, No 1 (2023), Pagination: 119-129Abstract
Advances in information and communication technology and electronics have led to a surge in interest in mobility-enabled wireless sensor networks (MEWSN). These minuscule sensor nodes collect data, process it, and then transmit it via a radio frequency channel to a central station or sink. Most of the time, MEWSNs are placed in hazardous or difficult-to-access locations. To increase the lifespan of a network, available resources must be utilized as efficiently as possible. The whole network connection collapses if even one node loses power, rendering the deployment's goals moot. Therefore, much MEWSN research has focused on energy efficiency, with energy-efficient routing protocols being a key component. This paper proposes an Adaptive Fish Swarm Optimization-based Routing Protocol (AFSORP) for identifying the best route in MEWSN. AFSORP functions based on the natural characteristics of fish. The two most important steps in AFSORP are chasing and blocking, which respectively seek the optimal route and choose the appropriate route to send data from the source node to the destination node. Standard network performance measurements are used to assess AFSORP with the help of the GNS3 simulator. The results show that AFSORP performs better than the existing routing methods.Keywords
Routing, Mobility, WSN, MEWSN, Optimization, Fish, Energy.Full Text
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- Minimizing Energy Consumption in Vehicular Sensor Networks Using Relentless Particle Swarm Optimization Routing
Abstract Views :133 |
PDF Views:1
Authors
Affiliations
1 Department of Computer Science, Skyline University, NG
2 Department of Computer Science, Dr. N.G.P. Arts and Science College, Tamil Nadu, IN
3 Department of Computer Science and Applications, Sankara College of Science and Commerce, Tamil Nadu, IN
4 Department of Computer Science and Engineering, Annamalai University, Tamil Nadu, IN
5 Department of Computer and Information Science, Annamalai University, Tamil Nadu, IN
1 Department of Computer Science, Skyline University, NG
2 Department of Computer Science, Dr. N.G.P. Arts and Science College, Tamil Nadu, IN
3 Department of Computer Science and Applications, Sankara College of Science and Commerce, Tamil Nadu, IN
4 Department of Computer Science and Engineering, Annamalai University, Tamil Nadu, IN
5 Department of Computer and Information Science, Annamalai University, Tamil Nadu, IN
Source
International Journal of Computer Networks and Applications, Vol 10, No 2 (2023), Pagination: 217-230Abstract
Increasing traffic issues, particularly in highly populated nations, have prompted recent interest in Vehicular Sensor Networks (VSNETs) from academics in several fields. Accident rates continue to rise, highlighting the need for a highly functional Smart Transport System (STS). Improvements to the STS should not be spread thin across the board but should concentrate on improving traffic flow, maintaining system reliability, and decreasing vehicle carbon dioxide and methane emissions. Current routing protocols for VSNETs consider various scenarios and approaches to provide safe and effective vehicle-to-infrastructure communication. The reliability of vehicle connections during data transmission has not been well explored. This paper proposes a Relentless Particle Swarm Optimization based Routing Protocol (RPSORP) for VSNET to use vehicle kinematics and mobility to identify vehicle location, send routing information packets to road-side devices, and choose the most reliable path for travel. RPSORP optimizes local and global search to minimize energy consumption in VSNET. The RPSORP is evaluated in the GNS3 simulator using Throughput, Packet Delivery, Delay, and Energy Consumption metrics. RPSORP has superior performance than state-of-the-art routing protocols.Keywords
VSNET, Routing, Swarming, PSO, Local-Search, Global-Search.Full Text
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