Wireless networks adapt easily to changes and offers flexibility in the configuration of the network. In MANET, each node will change its location dynamically and configure itself according to the environment. An effective mechanism for route discovery in such networks is broadcasting, but routing overhead associated with broadcasting can be large in high dynamic networks. To reduce this routing overhead in MANETs, a neighbor coverage based probabilistic rebroadcast protocol is used. To determine the rebroadcast order, a novel rebroadcast delay is used and it obtains the more accurate additional coverage ratio by sensing neighbor coverage knowledge. The rebroadcast probability is calculated by merging the additional coverage ratio and connectivity factor. In the proposed method Energy Efficient Neighbor Coverage Protocol(EENCP) is introduced. In this, the node does not forward RREQ unless there is sufficient energy (battery lifetime), and until the node density in its surrounding exceeds a particular threshold. These two parameters are defined taking into consideration various statistics. EENCP analyzes these two parameters, when implementing routing discovery, and avoiding the unnecessary information sending efficiently and avoid unnecessary information transfer.

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This article presents a feasibility of standalone energy system comprising of wind and solar energy systems have been studied in order to implement in Tuludimtu town. In doing so Tuludimtu has been selected as a case site; consequently the wind speed (at 25 m) and the estimated solar radiation data of this town has been analyzed in such a way that, it would be easy for using HOMER software. The results show that; the wind energy potential is reasonable, with average wind speeds of approximately 5.15 m/s. However; the solar energy potential of the site can be classified as excellent as in the town the daily average solar irradiation is more than 6.24 kWh/m2/day. As a result the cost of energy of the designed energy system is found to be in the range of $0.35/kWh to $0.39/kWh which makes the system competitive in the Ethiopian’s energy system.

A hidden node problem occurs when two different cluster heads communicate with each other. The cluster head may always establish bidirectional connections to achieve another node in a different cluster from the first nongroup node. In the correspondence between two unique clusters, the occurrence of a hidden node cannot be recognized. The intercluster link management problem occurs in the system because of the hidden node. The intercluster grouping method is proposed to eliminate the hidden node problem when there is correspondence between two unique clusters. The cluster head initiates the proposed method by the grouping method. The Group Join Request (GJREQ) is sent by each cluster head to the other cluster, which is the nongroup member. The GJREQ is received by the nongroup member in the cluster, which promotes the request to other bidirectional nodes. This request is sent until it comes to the cluster head. The cluster head assigns a response in the affirmative and sends the information to the source node. The neighbor groups are points of interest that are used for sending and receiving the information between the clusters.

Digitalization, affordable smart gadgets, and social distancing have turned virtual communication into a lived phenomenon. However, we should be aware of the fact that the virtual communication process is entangled with positive and negative consequences. On the one hand, it has enabled people to develop a feeling of togetherness and belonging, and on the other, it is steeped in conflict and dispute due to the extensive use of emojis that are context-sensitive and are subjected to multiple interpretations. The problem of emojis connected with sexual connotations has not been studied in an online conversation parameter. Hence, the current study examines the sexual connotations that are embedded in the usage of non-facial emojis such as eggplant, cherry, etc., in virtual communication and analyses sexual connotations that are generated in closed group interactions. The methodology undertaken in this study is a quantitative experimental research method to collect data. Participants (N=64) will determine how certain context-sensitive emojis are perceived by them in closed group online conversations. Results suggest that non-facial emojis possess sexual connotations which are highly context-specific and used extensively in interpersonal conversations. In this way, this paper will prepare the ground to study more hidden sexual connotations in emojis.