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.

The mobility concept is an essential element which can influence the evolution of network performances in Mobile Ad hoc Networks (MANETs). Improving stability is one of the main considerations in designing routing protocols. In this paper, the author proposes an improved algorithm based on a technique of mobility by exploring both modification to MPRs selection and integrating the technique in the routing decision. The technique, in question, is a spatial mobility named Spatial Relation MPR, which is derived from the linear distance of the movement of a node with its instantaneous speed, direction and acceleration. The main objective is to find more stable MPRs that can increase stability of the network even in a highly dynamic environment. Our version of OLSR is proven by simulations in network simulator (NS3) under Manhattan Grid mobility model. Results shown a significant performance gains for SROLSR. In addition, the proposed technique can be used as a mobility mechanism to improve network performance for other protocols in MANETs.

The key idea behind the routing protocols based in multi hope is to find the required path from the source node to the destination. Since those protocols does not consider the node mobility in their mechanism, we propose enhanced the routing protocols by benefit from localization node and predict the time needed for neighbors to go out of range for a node to increase the robustness of the protocols with the mobility. First, we propose an efficient scheme to predict the neighbor rang out. Second, we designed an enhanced version of OLSR (Optimized Link State Routing) based on the collected data. Third, we conduct an extensive set of simulations to compare the performance of our proposal against OLSR origin.