• MALVINDER SINGH

Mobile computing has become an integral part of our daily lives, providing users with ubiquitous access to information and services. However, the limited computational resources and battery life of mobile devices pose significant challenges for running resource-intensive applications. Task offloading, a technique that delegates computational tasks from mobile devices to remote cloud servers, has emerged as a promising solution to address these challenges. This research paper explores various techniques and their impact on mobile computing performance. The paper provides an overview of different algorithms of mobile computing. Several mobile computing strategies are examined based on factors such as task characteristics, network conditions, and device resources. By intelligently delegating computational tasks to remote cloud servers, mobile devices can overcome their inherent limitations and provide users with a seamless and responsive computing experience. This paper contributes to the understanding of different mobile computing algorithm strategies and their implications for mobile computing performance, laying the groundwork for further research in this field.

GPS, load balancing, LSB, mobile computing, resource allocation, Wi-Fi

"ANALYZING MULTIPLE MOBILE COMPUTING STRATEGIES INVOLVED IN WIRELESS COMMUNICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 6, page no.348-355, August-2016, Available :http://www.jetir.org/papers/JETIR1701B52.pdf

"ANALYZING MULTIPLE MOBILE COMPUTING STRATEGIES INVOLVED IN WIRELESS COMMUNICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 6, page no. pp348-355, August-2016, Available at : http://www.jetir.org/papers/JETIR1701B52.pdf