Abstract: Wireless sensor networks (NBLEP), integrating sensor, embedded computing, networking, and wireless communication technologies, represent a novel information acquisition and processing technology. This paper, drawing on various mature routing protocols, designs a hierarchical routing protocol based on a negotiation mechanism, aiming to effectively save energy and extend network lifetime. Finally, simulation tests on the ns2 platform demonstrate that NBLEP essentially achieves the design goals of a wireless sensor network routing protocol. Keywords: Wireless sensor network; negotiation mechanism; NBLEP; NS2 [align=center][b]Design and implementation for high efficiency route protocol of wireless sensor network[/b][/align] Abstract: Wireless sensor network (WSN), which integrates sensor, nested computation, networks, and wireless communication technologies, is a novel technology about acquiring and processing information. Based on sorts of mature routing protocols and aiming at lower consumption and extended network lifecycle, this paper proposes a new and efficient routing protocol: a negotiation-based hierarchical routing protocol—NBLEP. Finally, through simulation testing on the NS2 platform, the NBLEP routing protocol achieved the design goal for wireless sensor network. Keywords: wireless sensor network; negotiation based; NBLEP; NS2 1 Introduction Wireless sensor network is a wireless network without infrastructure. It integrates sensor technology, embedded computing technology, distributed information processing technology, and wireless communication technology. It can collaboratively monitor, sense, and collect information about various environments or monitored objects within the network distribution area in real time, process this data to obtain detailed and accurate information, and then transmit it to users who need this information. MIT's *Technology Review* magazine ranked wireless sensor networks (WSNs) at the top of its list of ten emerging technologies that will profoundly impact the future of human life. WSNs are at the forefront of new technologies, and many hot topics remain to be explored, with scholars both domestically and internationally conducting in-depth research. Different researchers have different viewpoints on many issues related to WSNs. 2. Analysis of Existing Routing Protocols Route protocols for WSNs are currently a hot research topic internationally, with various protocols exhibiting their own strengths and weaknesses under different application environments and performance evaluation metrics. This paper briefly introduces some typical routing protocols, analyzes their basic principles, draws on previous design ideas, and combines these with the characteristics of WSNs to design new and more suitable routing protocols. 2.1 Flooding Method Flooding is a traditional network routing protocol. When node S needs to send data to node D, node S first transmits a copy of the data to each of its neighboring nodes through the network. Each neighboring node then transmits the data to each of its own neighboring nodes, except for node S, which just sent them the data copy. This process continues until the data is transmitted to the target node D, the lifespan of the data becomes zero, or all nodes have a copy of the data. The diffusion method is simple to implement and does not require much computational resources, making it suitable for applications with high robustness requirements. However, this method also suffers from problems such as information overload, partial overlap, and blind resource consumption; a single node may have multiple copies of the same data. 2.2 SPIN Protocol SPIN is a data-centric adaptive communication routing protocol. Its goal is to address the shortcomings of the diffusion method by using a negotiation mechanism between nodes and a resource adaptation mechanism. To avoid the information overload and partial overlap problems of the diffusion method, the SPIN protocol negotiates with each other before transmitting data to ensure that only useful data is transmitted. Simultaneously, before transmitting or receiving data, each sensor node checks its available energy level, interrupting certain operations if the energy level is low. The disadvantage of SPIN is that during the transmission of new data, it directly broadcasts ADV packets to neighboring nodes without considering that all neighboring nodes, due to their own energy limitations, are unwilling to take on the function of forwarding new data, resulting in "data blind spots" where new data cannot be transmitted, thus affecting the collection of information throughout the network. 2.3 MTE Protocol In the MTE protocol, sensor nodes select the nearest neighbor node in terms of plane distance for routing. The advantages of this routing protocol are its simplicity and low overhead; each node only needs to find the next-hop node to the sink node and then send the data to it. However, its disadvantage is that sensor nodes closer to the sink node will continuously act as routers, leading to load imbalance among nodes. Sensor nodes closer to the sink node may exhaust their energy more quickly, eventually dying and shortening the overall network lifespan. Besides the above routing protocols, other mature wireless sensor network routing protocols include Directed Diffusion, LEACH, TEEN, and APTEEN, which will not be discussed in detail here due to space limitations. However, it is worth noting that the LEACH (a clustering-based routing protocol) protocol plays a crucial role in wireless sensor network routing protocols; the NBLEP (Negotiation-Based Low Energy Protocol) protocol mentioned in this paper is based on this protocol. 3 NBLEP Routing Protocol Design In the design of routing protocols for wireless sensor networks, it is not only required to possess the correctness, robustness, stability, fairness, and optimality characteristics of traditional computer routing protocols, but also to consider the following specific special performance characteristics of wireless sensor networks: First, energy efficiency. Due to the limited energy of wireless sensor network nodes, the efficient use of energy must be prioritized in the design of the routing protocol. Second, simplicity. Compared to traditional networks, the computing and storage capabilities of sensor nodes are extremely limited, thus requiring a simple and effective routing protocol tailored to their specific needs. Third, multi-path capability. Typical wireless sensor networks often operate in harsh environments that are intolerable to humans. To avoid the failure of a single node affecting the efficiency of the entire network, each node needs to maintain as many routes as possible. Based on the above theories, the authors designed a hierarchical (clustering), negotiation-based, centralized and distributed, low-power, dynamically adaptive on-demand routing protocol—the NBLEP routing protocol—that maintains multiple routes. 3.1 Hierarchical NBLEP Routing Protocol The NBLEP routing protocol hierarchically divides the originally equal sensor nodes according to their location and energy availability, based on the network size and application needs. The protocol divides the entire wireless sensor network into different clusters. Nodes within a cluster occupy different levels. Nodes with higher energy levels are at higher levels and undertake more tasks, including sensing, transmitting new data to upper-layer nodes, relaying data from lower-layer nodes, and performing data fusion. Nodes with lower energy levels are at lower levels and only perform sensing and transmission tasks to upper-layer nodes. Each node's routing table only needs to maintain information about its upper-layer nodes. 3.2 Negotiation Mechanism Implementation of the NBLEP Routing Protocol During the data transmission phase, nodes within a cluster transmit their collected data to the cluster head node using metadata negotiation. After receiving data transmitted by all ordinary nodes within the cluster, the cluster head node performs data fusion before transmitting data to the Sink node. 3.3 Multiple Route Maintenance To ensure routing reliability, each ordinary node in the NBLEP routing protocol maintains information about a backup cluster head node. If the cluster head node of a given cluster fails due to an abnormal reason (which is very likely to occur in practical applications), it immediately joins the cluster containing the backup cluster head node, thus implementing multiple routes to the Sink node and achieving routing robustness. 3.4 Low Power Consumption, Adaptive NBLEP Routing Protocol Design Each ordinary node within a cluster uses energy control, only activating its transmitting device to transmit data in its assigned time slot; otherwise, it shuts down. Every round (each round consisting of a cluster formation phase and a data transmission phase) involves dynamic cluster class partitioning and cluster head node reselection, ensuring equal opportunities for each node to become a cluster head. This combination of methods implements a node "sleep" mechanism, avoiding the transmission of invalid data and effectively saving energy. 4 NBLEP Routing Protocol Simulation Test Due to hardware platform limitations, this routing protocol cannot be run and tested in a real-world environment. Therefore, this testing is conducted on the ns2 simulation platform. During the simulation, the authors used different array parameters to test whether the NBLEP routing protocol achieved its design goals. 4.1 Simulation Platform Establishment ns2 is a core component of the DARPA-supported project VINT, primarily aimed at network protocol researchers. Due to its advantages such as being free, open-source, and highly extensible, ns2 has been widely used in simulation tests of various networks. In the simulation environment, the authors used 100 wireless sensor nodes and one fixed-location sink node to implement the NBLEP routing protocol. The wireless sensor nodes were randomly distributed in a 100 * 100 planar area, with the sink node located far from the sensing area, as shown in Figure 1. Each wireless sensor node had an initial energy of 2J, a data packet size of 500 bytes, and metadata size of 25 bytes. Depending on the distance between the wireless sensors and between the wireless sensors and the sink node, two different models were used: free-space propagation and multipath attenuation. The free-space model was used when the distance between the receiver and transmitter was less than a certain threshold; the two-path model was used when the distance was greater than a certain threshold. The model type directly determined the transmission power between nodes, which was a function of the reception threshold Pr-thresh and the distance d between the transmitter and receiver. Because different transmission models were used for communication between different types of nodes at different distances, the NBLEP routing protocol perfectly achieved low power consumption and hierarchical performance. The multi-route maintenance and negotiation mechanisms are reflected in the message structure design. Figure 2 shows the timeline of a single transmission round, including the cluster formation phase and the data transmission phase. The cluster formation phase is relatively short, while the data transmission phase is very long. During the data transmission phase, ordinary nodes within a cluster transmit data to the cluster head node. The cluster head node processes the data and then transmits it to the sink node. 4.2 Simulation Result Analysis For wireless sensor networks, there is currently no unified standard for evaluating different routing protocols. Based on practical considerations, the authors used the following two parameters to evaluate the NBLEP routing protocol: Total number of data packets received by the sink node: This parameter indicates the total number of data packets transmitted by the cluster head node received by the sink node during operation. Number of surviving nodes: This parameter indicates the total number of nodes that remain surviving over time, and is an important indicator of whether a routing protocol is an energy-efficient protocol. Here, we use the results of one test as an example for illustration: As shown in Figure 3, as time progresses, nodes gradually die due to energy consumption. During the period from 0 to 2100 seconds, the authors used a centralized clustering algorithm. From 1200 to 2100 seconds, a large number of nodes ran out of energy and died. At 2100 seconds, only 30 nodes remained alive (30% of the total number of nodes). Therefore, from 2100 to 3600 seconds, the authors switched to a distributed clustering algorithm. With this algorithm, the rate of node death slowed significantly, indicating that the distributed clustering algorithm effectively extended the lifespan of the entire network. Figure 4 shows that during the period from 0 to 2100 seconds, the authors used a centralized clustering algorithm. Because the sink nodes clearly understood the global topology and formed effective clusters, the number of data packets received by the sink nodes increased rapidly. After 2100 seconds, as shown in Figure 3, due to the large number of node deaths, the authors switched to a distributed clustering algorithm. The clusters elected by the nodes themselves were less effective than those generated by the sink nodes. Furthermore, with continued node deaths, the number of data packets received by the sink nodes increased relatively slowly. The simulation results above confirm that the NBLEP routing protocol enables the entire network to achieve high throughput and a long lifespan with low energy consumption. 5. Conclusion Wireless sensor networks (WSNs) are a new information acquisition and processing technology. In specialized fields, they possess unparalleled advantages over traditional technologies and will undoubtedly open up many novel and valuable commercial applications. Since WSNs are an emerging technology, domestic research in this specialized field is still limited. Based on the analysis and reference of several mature routing protocols, this paper designs a hierarchical, negotiation-based, centralized and distributed, low-power, dynamically adaptive, on-demand routing protocol—the NBLEP routing protocol—that maintains multiple routes. Finally, the paper uses the ns2 platform to simulate and test the NBLEP routing protocol, demonstrating that it basically meets the design requirements. 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