Seamless handover process is essential in order to provide efficient communication between mobile nodes in wireless local area networks. Despite the importance of a signal strength prediction model to provide seamless handovers, it is not embedded in standard mobility management protocols. In this article, we propose a smart handover prediction system based on curve fitting model to perform the handover (CHP) algorithm. The received signal strength indicator parameter, from scanning phase, is considered as an input to the CHP in order to provide a prediction technique for a mobile node to estimate the received signal strength value for the access points in the neighborhood and to select the best candidate access point from them in an intelligent way. We implemented the proposed approach and compared it with standard protocols and linear regression-based handover prediction approach. Simulation results in complex wireless environments show that our CHP approach performs the best by predicting the received signal strength value with up to 800 ms in advance from real obtained value via scanning phase. Moreover, our CHP approach is the best in terms of layer 2 and overall handover latency, in comparison with standard protocols and linear regression approach, respectively.A. S. SADIQ ET AL. model, is responsible for detecting the potential handover and obtaining the decision to perform the handover procedure. The second layer, the network layer or layer 3 (L3) in the Open Systems Interconnection model, becomes involved in the handover process just when the MN enters the network domain of a different subnet [2]. The MN, to be able to maintain the network connectivity, requires to execute the L3 signaling in order to obtain a new Internet Protocol (IP) address. An interruption occurs when MN is going to change its place across different access routers (ARs) in the range of movement. This is known as the time required to change the wireless network link and then to return back to routability. In other words, it is identified as a handover latency mentioned in [3], which consists of several levels of delay distributed over handover process levels.The handover can be defined as the time spent changing from one point of attachment AR to another. During this time, the MN is not able to send or receive data. Thus, the connection may be interrupted, and packets may be lost or delayed because of intermediate buffers [3,4]. The Internet Engineering Task Force (IETF) developed Mobile IP (MIP) to tackle the handover latency issue by utilizing efficient mobility management. IETF has designed two versions of MIPs: Mobile IPv4[5] and Mobile IPv6 (MIPv6) [6]. MIPv6 has recently been used as a mobility protocol supported with IPv6 addressing, and its process scheme is illustrated in Figure 1. We can observe the signaling scheme of MIPv6 protocol during MN roaming process among previous AR (PAR), new AR (NAR), home agent (HA), and corresponded node (CN) (a node that communicates with an MN that is out of its own network). This mobility ...