Multipoint relay selection through estimated spatial relation in smart city environments

Abstract

The future Internet will be able of connecting and communicating with practically all physical and virtual objects around us to the Internet to create smart homes and cities. Thus smart things are expected to send and receive data, in particular, effective data collection is crucial for services that require a timely delivery of urgent data while reacting independently to the events with or without any human intervention and self-configuring themselves such as homeland security, city surveillance, irrigation, smart buildings & industries, ecommerce, auto vehicle systems, etc. The current challenges have led to deploy the mobile ad hoc networks (MANETs) in the Smart Cities due to their easy implementation and to be the fastest and the most efficient way to establish connection in smart environments. However, the challenge is, the environments that these communications act through, are variables and unstable. This paper proposes an original solution to integrate and exploit MANETs to allow immediate adaptation in smart city environments. This proposed is an improved algorithm based on a mobility scheme named Estimated Spatial relation by discovering both modification to MPRs selection and the routing decision in goal to decrease effects that lead to more disconnecting of the network, more delay and more lost packets due to unpredictable environment for smart city networks. Proposed design has been checked using NS3 simulator and demonstrated good results in most of the circumstances.