## 1 Introduction  
WMSNs are capable of capturing audio-video information by using low-cost cameras embedded with sensor nodes. The multimedia sensors provide substantial information related to a particular area of interest [1; 2; 3; 4; 5; 6]. However, multimedia applications experience problems due to online media transmission challenges [7]. Several sources of energy waste include idle listening, overhearing, packet loss due to collisions, and packet overhead in the multimedia sense. One of the major sources of energy waste are the packet collisions that happen when two nodes try to transmit the packets simultaneously. As a result, this causes a partial or complete packet loss at the recipient node. The lost packets need to be discarded or retransmitted, which could be the source of the excess energy consumption waste and Quality of Service (QoS) degradation. To enable the on-demand multimedia services, we need to focus on multimedia-supported algorithms in WMSNs to determine the hidden node problems and compute the directional coverage. The existing IEEE 802.15.4 standard is based on the blind back off carrier sense multiple approach with collision avoidance (CSMA/CA), where the nodes check the channel before sending the data frame. If, the channel is free, then the node initiates the transmission process; otherwise, it reattempts after a certain time. However, this approach is only suitable when the nodes hear each other, and that could be a rare case in WMSNs [6]. In most cases, the network coverage is much larger than the single node's coverage area. In general, a well-defined coverage area does not support WMSNs because the propagation characteristics are uncertain and dynamic. In this situation, the node is unable to determine the receiver side. The results could be the probability of hidden node collisions. The restrictions of the multimedia sensing proficiencies relate to the location coverage and hidden node problem. Once a better location coverage and hidden node solution for multimedia sensors are discovered, the results will help to improve the capabilities of WMSNs applications. Additionally, WMSNs restrictions are caused by tall buildings, mountains, and trees. Hence, directional coverage of multimedia sensors could be completed once they are deployed in an area of interest. However, proper directional location for multimedia sensors requires correct field information prior to deployment of sensors. It is also likely that multimedia sensors might change their location due to mobility over time. This problem can be resolved by dynamic updates of the locations through location information exchanges [8]. However, multimedia applications have limitations that will affect the successful media transmission in the sensor networks. Node connectivity is subject to change because of wireless commotions [9; 10]. When a sensor is responsive to its immediate neighbors, it must uninterruptedly upload information about its surroundings. The connectivity is a severe problem subject to the mobility change when the network has been set up. The sensors nodes try to identify new neighbors to address mobility problems, but a hidden node problem is a hurdle. Initial neighbor node discovery is typically performed when the sensor node has no proof about the configuration of its immediate neighbors. In this situation, the sensor node is unable to communicate with either the base station or the sink station. Thus, immediate neighboring nodes should be detected as soon as possible to set a path to the base station and contribute to the operation of the network [11; 12]. Hence, in this state, more wide-ranging energy use is justified. In order to handle the hidden node and coverage problem, our approach contributes the Obstacle-driven Negative Effect Strategy (ONES) method that handles the negative effect of the obstacles. The proposed method is designed for those scenarios where the number of the relays are less than those of relays required for building steady links.