Mobile ad hoc networks (MANETs) are autonomous systems composed of multiple mobile nodes that communicate wirelessly without relying on any pre-established infrastructure. These networks operate in highly dynamic environments, which can compromise their ability to guarantee consistent link lifetimes, security, reliability, and overall stability. Factors such as mobility, energy availability, and security critically influence network performance. Consequently, the selection of paths and relay nodes that ensure stability, security, and extended network lifetimes is fundamental in designing routing protocols for MANETs. This selection is pivotal in maintaining robust network operations and optimizing communication efficiency. This paper introduces a sophisticated algorithm for selecting multipoint relays (MPRs) in MANETs, addressing the challenges posed by node mobility, energy constraints, and security vulnerabilities. By employing a multicriteria-weighted technique that assesses the mobility, energy levels, and trustworthiness of mobile nodes, the proposed approach enhances network stability, reachability, and longevity. The enhanced algorithm is integrated into the Optimized Link State Routing Protocol (OLSR) and validated through NS3 simulations, using the Random Waypoint and ManhattanGrid mobility models. The results indicate superior performance of the enhanced algorithm over traditional OLSR, particularly in terms of packet delivery, delay reduction, and throughput in dynamic network conditions. This study not only advances the design of routing protocols for MANETs but also significantly contributes to the development of robust communication frameworks within the realm of smart mobile communications.

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.