The purpose of this study is to investigate the issues that affect the efficiency of wireless sensor networks during data transmission. According to Bilouham and Gupta (2011), wireless sensor networks face the problems of huge energy consumption, loss of information from unaware locations as well as problems of latency. There are also problems of efficient placement of nodes for congestion control in wireless sensor networks.
Through the variables, the research sought to determine the issues that hinder the achievement of efficiency and eliminate latency with a possibility of ascertaining the target information through little energy consumption. The research design sought to achieve the right deployment by focusing on distributed network through a multiple supply of power and mapping protocol to detect jamming. Results from the current quantitative study of the wireless sensor networks shed light on the problems and dangers users are exposed to as they use their systems.
The information garnered includes algorithms as well as multi-sink to collect data from the environment through physical entity sampling which were later sent to external users by use of multi-sinks. The data collection process incorporated in-depth analysis on algorithms in an effort to determine the issues affecting wireless sensor networks among systems in the United States.
The research design was data-centric with a focus on managing sensor data rather than nodes through an application-specific approach. The research focused on specific hardware with efficient system control architectures and communication control algorithms seeking to address the specific resource constraints in wireless sensor networks. A simple polling model was utilized to gain queries for sensing and communication feedback. Further, the study was split into application-agnostic and those that were driven by future application needs and market trends.