Networked Sensing Systems
by Rajesh Kumar Dhanaraj, Malathy Sathyamoorthy, Balasubramaniam S., Seifedine Kadry
6Efficient Load Balancing and Resource Allocation in Networked Sensing Systems—An Algorithmic Study
Lalitha Krishnasamy1*, Divya Vetriveeran2, Rakoth Kandan Sambandam2 and Jenefa J.2
1Department of Artificial Intelligence & Data Science, Nandha Engineering College, Erode, Tamil Nadu, India
2Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Kengeri Campus, Bengaluru, India
Abstract
In the current environment, data generation and data transmission are increasing exponentially in day-to-day life. These exponentially growing data might create heavy traffic when transmitted between systems. Also, this affects many functionalities like configuration of networked systems, system and routing configuration parameters, load managing factors of network devices, etc. A dynamic traffic control mechanism needs to be adopted with the help of load-balancing algorithms and efficient resource allocation mechanisms to deal with heavy data traffic. Load balancing algorithms in networked sensing systems aim to distribute the workload evenly among sensor nodes to optimize network performance and energy efficiency and prolong the network lifetime. Resource allocation mechanisms in a networked sensing system involve allocating and distributing network resources efficiently, such as energy, bandwidth, processing power, etc., to optimize performance and increase the network’s lifetime. To achieve efficient resource allocation with a balanced load, ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access