This article focuses on roadside unit (RSU) deployment based on the analysis of aggregation delay causes between the accident-occurring location and the nearby RSU. Information aggregation in vehicular ad hoc networks using RSU is one of the phenomenal concepts that look ahead in today’s recent advancements, since the consistency in aggregation and dissemination of data in a volatile network is high when compared with vehicle to vehicle communications. Deploying the RSU as appropriate in rural areas is cost-sensitive since the collection of information is not up to the mark when compared with urban regions. A mathematical model called Powell’s Method and a bioinspired algorithm, namely krill herd algorithm, have been hybridized and proposed in this research article for effective RSU deployment. The proposed algorithm has been tested under three different road maps, and the consistency of the algorithm has been evaluated under appropriate performance measures.

The Body Sensor Networks is captivated in gathering the communication module in a more reliable manner along with efficiency in terms of energy, more secure than earlier schema’s, ands enhanced utilization of resources. Wireless BAN (WBAN) has the tendency to be placed even inside the human body. The significance of BSN has the tendency to go through all aspects such as fitness of a person, his/her health issues, caring in critical level, and so on. In 2014 [1] the elevation of body sensors has been grown upto 420 millions from 11 million units in 2009. In this research work, we addressed BAN from On-Body to Body-to-Body cooperative networks at different levels: propagation, protocols and localization applications.