A Realistic Weighted Clustering algorithm for data gathering in single hop cell phone based sensor network

Abstract

We present Weight based Realistic Clustering algorithm (WRCA) for energy efficient data collection from human based wireless network such as cell phone based sensor network. The WRCA creates better load balanced and stable clusters for data gathering in a realistic human mobility scenario as compared to WCA algorithm of mobile adhoc networks. Traditional way of stable clustering used to select stable Cluster Heads (CHs) based on instantaneous mobility criteria. While our algorithm incorporate only a pause time weighting parameter to leverage pause time distribution of human mobility for selection of more stable CHs. Load balancing aspect of WRCA tackles realistic scenario of inhomogeneous node distribution. Improvement in load balancing with WRCA assure better aggregation of sensor data and MAC layer performance. This is accomplished by incorporating a density center weighting parameter. This information is used to select density centered CHs. WRCA requires fewer messages to find density centered nodes as compared to TASC. Simulation results demonstrate the overall superiority in performance of the WRCA when mobility according to a realistic mobility model called Self similar Least Action Walk (SLAW) is considered. Simulation result shows that our proposed algorithm consumes 20% less energy and 50% more network lifetime as compared to WCA algorithm.

Weighted Adaptive Opportunistic Scheduling Framework for Smartphone Sensor Data Collection in IoT

“…Researchers have also used flight length and pause time of a truncated Levy walk mobility model for scheduling mobile nodes [24]; these researchers gave higher priority to the mobile nodes that were more likely to visit larger areas and have smaller pause times. Other investigators proposed a human mobility-based weighted algorithm for selecting an efficient cluster head that could collect cell phone sensor data [25,26]. The authors of those studies considered such mobility parameters as flight length and distance and mobile node velocity to be important parameters in addition to the residual energy limit of mobile nodes.…”

Single Mobile Sink Based Energy Efficiency and Fast Data Gathering Protocol for Wireless Sensor Networks

“…The application of self-controlled mobile sink exploited node localization and data source identification to perform sink trajectory decision for data collection. In[11] a weight based realistic clustering algorithm (WRCA) was developed in which authors applied multiple mobile nodes to perform data gathering over Ad-hoc networks. Considering network security during data gathering, authors…”