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Mobile wireless sensor network (MWSN), as a backbone of most communication and embedded systems, is characterized by low data delivery as a result of the energy constraint and in‐deterministic movement of the nodes. To select optimal route path for a reliable data routing, protocols need to select neighbouring nodes with low mobility and residual energy parameters along the route. However, obtaining these parameters from the targeted nodes may encourage mischievous nodes to manipulate their energy and mobility parameters in their favor, leading to the selection of non‐optimal route path and/or exposing the network to other attacks. Rather than depending on the targeted nodes for these parameters, they can be accurately and securely obtained by sink node or base station using effective predictive models. However, most of the existing predictive models engaged by MWSN routing protocols either provide only the energy level or mobility factor of the nodes for optimal route path selection. This, therefore, reduces the reliability of the obtained optimal route paths in terms of data delivery. In this article, we propose predictive models for an accurate prediction of mobility and residual energy parameters of nodes in MWSN for efficient route management. The models are simulated on an existing MWSN protocol to determine their performance. The simulation results show that the adoption of these models in the development of routing protocol will not only lead to optimal route paths' selection but also enhance data delivery rate in MWSN.

Introduction Creating pneumoperitoneum is the most challenging step during laparoscopy. The periumbilical area is the classic site for Veress needle insertion. We adopted a new access point for peritoneal insufflation. Methods We introduced a new point for Veress needle insertion to create pneumoperitoneum during difficult laparoscopic procedures. The needle is placed between the xiphoid process and the right costal margin, and it then proceeds toward the patient’s right axilla. We collected data to compare using this new method of peritoneal insufflation with using Palmer's point for pneumoperitoneum. Results Since 2013, we have used this new technique in 570 patients (first group) and Palmer’s point in 459 patients (second group). Among these patients, 196 patients (20%) had had previous abdominal operations, 98 patients (10%) had irreducible ventral hernia, and 735 patients (70%) were morbidly obese. The two groups were comparable in terms of patient characteristics. The mean time to create pneumoperitoneum in the first group was 0.8 ± 0.002 min compared to 1.08 ± 0.007 min in the second group (P ≤ 0.5). The mean number of punctures was 1.57 ± 1.02 in the first group compared to 2.9 ± 1.5 in the second group (P≤ 0.5); in the first group, 97% were successful on the first attempt entry, whereas this figure was 91% in second group. In the first group, the liver was punctured in 13 patients without any further complications; no other viscera were punctured. In the second group, gastric puncture occurred in 5 cases, transverse colon in 2 cases, and omental injury in 12 cases. Conclusion This new access point may represent a safe, fast, and easy way to create pneumoperitoneum, as well as a promising alternative to Palmer’s point in patients who are not candidates for classic midline entry.