## 3 Proposed Technique  
The technique illustrated above is intended to extend the life of wireless sensor networks. Figure 1 depicts the overall network for which we extended longevity. A 150 m radius is provided by the nodes that surround the base station. Some environmental data can be sensed by nodes around the base station and routed to the base via a precise routing mechanism. In addition to the fixed sensor nodes, mobile entities are deployed. For example, if a sensor node runs out of battery power, a mobile entity can recharge it. Some jumping or jumping nodes are planted alongside these static sensor nodes and mobile entities. The jumping nodes' job is to convey data from sensor nodes that are in demand. Static nodes are set up in accordance with the requirements of the application, but the movement of mobile entities is not at random. To capture robust movement, we have used the freeway mobility model [23]. In our plan, the base station is surrounded by three distinct zones. One zone is from the base station to 50 m, and two zones are from fifty meters to 100 m. The third zone is between 100 m and 150 m long. Zone 1 is more likely to run out of energy than zone 2; this is the primary reason for creating zones around the base station. Nearby sensor nodes, such as zone 2 and zone 3, are prone to failure because they not only receive and transmit their own data, but they also act as relays for data from sensor nodes further away from the base station. There are fewer chances for a zone 3 sensor node to fail because the zone 2 sensor nodes relay data only from zone 3 sensor nodes, whereas the zone 3 sensor nodes only communicate their own data. Zone 1 nodes are more likely to fail than zone 2 and zone 3 sensor nodes as a result of forming the previously specified zone surrounding the base station, hence we can expect a greater demand for mobile entities in zone 1. Zone 1 will have 12 mobile entities, zone 2 8 mobile entities, and zone 3 only 5 mobile entities. In the same way, zone 1 has a greater number of leaping nodes than zones 2 or 3. Th1 and Th2 are the energy thresholds used by our sensor nodes. Nodes will send a message to their 1-hop neighbours whenever they run out of energy and hit threshold 1 (th1). They will then look for a mobile entity in their 1-hop neighbour. Sensor nodes respond when a mobile entity is detected and notify the mobile entity, which then proceeds to move towards the sensor node to charge it. No mobile entity was found at threshold 1, so the sensor node will wait until threshold 2 (th2), at which point the node will notify its neighbours, who will then search for the mobile entity in their neighbours. The sensor \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Algorithm** & **Year** & **Advantages** & **Shortcomings** \\ \hline \multirow{8}{*}{PACR} & \multirow{8}{*}{2020} & PACR is like writing a will on a & \multirow{8}{*}{Method combines localised and distributed algorithms. Small networks have little messaging overhead. PACR method.} \\  & & & \\  & & & \\  & & & \\  & & & \\  & & & \\  & & & \\ \hline \multirow{8}{*}{SNR} & \multirow{8}{*}{2021} & Smart node relocation (SNR) & \multirow{8}{*}{It avoids cascaded relocation by moving the fewest nodes necessary to restore connectivity.} \\  & & & \\  & & & \\  & & & \\  & & & \\ \end{tabular}
\end{table} 
Table 1: _Cont._node will be notified, and the mobile entity will move toward the sensor node to begin charging it if it is found in the 2-hop neighbours. As long as there are not any mobile entities within two hops, the sensor node will ask for help by sending a message to the base station. When a sensor node's location is known, the base station can locate the nearest mobile entity and alert it. If a sensor node fails, the base station will send an alert to the nearest mobile entity to let it know where the nearest sensor node is so that the mobile entity can go to the sensor node and begin charging it.